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Proximal Sensing in Precision Agriculture
Site-Specific Pasture Management
Education and Training in Precision Agriculture
Engineering Technologies and Advances
Sensor Application in Managing In-season Crop Variability
Profitability, Sustainability and Adoption
Information Management and Traceability
Guidance, Robotics, Automation, and GPS Systems
Precision Crop Protection
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Authors
Aberger, C
Acquah, H.D
Adamchuk, V.I
Adamchuk, V.I
Alahe, M
Alexandroff, V
Alheit, K.V
Amaral, L.R
Amaral, L.R
Arno, J
Ashley, R
Backman, J
Backman, J
Badarch, L
Badarch, L
Badgujar, P.D
Bai, X
Balkcom, K
Bao, Y
Bareth, G
Barreto, A.R
Barros, M.F
Been, T
Behrendt, K
Ben-Halevi, I
Benavente, J.C
Berdugo, C
Berenstein, R
Billiot, B
Bodson, B
Bosompem, M
Boyer, C.N
Bronson, K
Buschermohle, M.J
Busemeyer, L
C. Lopes, W
Cambouris, A
Cao, Q
Chang, Y
Chang, Y
Chang, Y.K
Charvat, K
Cheema, M
Chen, J
Chen, L
Chen, L
Chen, N
Chen, P.L
Chen, X
Chokmani, K
Choudhari, D.D
Cointault, F
Colaço, A.F
Company, J
Connor, J
Cosby, A.M
Cugnasca, C.E
Cugnasca, C.E
DEL MORAL, I
Dammer, K
Dao, T.H
Dehne, H
Dehne, H
Deng, W
Destain, J
Destain, M
Dhillon, R
Domingues, G
Dong, J
Dota, M.A
Drummond, S.T
Drummond, S.T
Du, X
Dumont, B
Dunn, D
Dutra, R
Duval, C
Dynes, R
Edan, Y
El-Sayed, S
Elmore, R
Esau, T.J
Esau, T.J
Escolà, A
Evert, F.V
Falzon, G
Farooque, A.A
Farooque, A.A
Federle, C
Feldhaus, J
Feng, G
Feng, G
Feng, L
Ferguson, R.B
Ferguson, R.B
Fey, S
Figueredo, D.G
Fixen, P
Fu, W
Fulton, J.P
Fulton, J.P
Fumery, J
Fusamura, R
Gómez, S
Gailums, A
Gao, L
Gao, X
Gao, X
Ghinassi, G.P
Gnip, P
Gnyp, M.L
Golla, B
Gouton, P
Griffin, T
Griffin, T.W
Griffin, T.W
Gummi, S
Ham, W
Ham, W
Hao, L
Hartmann, B
He, Y
Hedley, C
Hedley, M
Heijting, S
Hillnhuetter, C
Hirakawa, A.R
Hoffmann, C
Holland, K.H
Hu, H
Hu, J
Hu, T.H
Huang, S
Huang, W
Huang, Y
Hyrien, M
Inamasu, R
Inamasu, R.Y
Inamasu, R.Y
Isakeit, T
Jasper, J
Jezek, J
Ji, Z
Jian, S
Jiang, L
Jiang, R
Jonsson, A
Junior, C.S
Kanda, R
Karkee, M
Kemeshi, J.O
Kempenaar, C
Kempenaar, C
Khosla, R
Khosla, R
Khosla, R
Kiel, A
King, W
Kitchen, N.R
Kitchen, N.R
Kitchen, N.R
Kitchen, N.R
Kitchen, N.R
Kleinhenz, B
Klose, R
Kodaira, M
Kodaira, M
Kodaira, M
Kodaira, M
Kodaira, M
Kormann, G
Kremer, R.J
Krivanek, Z
Kunnas, A
Kwarteng, J.A
Kweon, G
Kwon, H
Kwon, H
Kyveryga, P.M
Lacey, R
Lamb, D
Lamb, D.W
Lambert, D.M
Lamker, D
Lampinen, B
Lampinen, B
Lan, Y
Larson, J.A
Lebeau, F
Leite, N.J
Leithold, P
Leithold, T
Lenssen, A
Li, F
Li, J.C
Li, M
Li, Q
Li, Q
Li, T
Li, W
Licht, M.A
Linz, A
Liu, B
Liu, B
Liu, F
Liu, X
Longchamps, L
Lopes, W
Lopes, W.C
Lowenberg-DeBoer, J
Luck, J.D
Lund, E
Lutz, C.C
M. Rabello, L
MARTÍNEZ-CASASNOVAS, J.A
MASIP, J
Ma, W
Mahlein, A
Maritan, E
Martini, D
Martinon, V
Maurer, J.L
Maxton, C
McDonald, T.P
Mederos, B.T
Mei, H
Menendez III, H
Meng, Z
Miao, Y
Miao, Y
Miao, Y
Minzenmayer, R.R
Mistele, B
Moeller, K
Molin, J
Molin, J
Molin, J.P
Molin, J.P
Molin, J.P
Monfort, W.S
Morgan, S
Morier, T
Mueller, S
Muharam, F
Musil, M
Muth, D
Myers, D.B
Myers, D.B
Nakagawa, Y
Nayse, S.P
Nichols, R.L
Ninomiya, K
Nowatzki, J
Odvody, G.N
Oerke, E
Oerke, E
Oerke, E
Ohaba, M
Ohaba, M
Ohaba, M
Oksanen, T
Ortega, R.A
Ortiz, B.V
Osato, K
Pagni, P
Panneton, B
Pate, G
Paz Kagan, T
Pentjuðs, A
Percival, D
Percival, D.C
Pereira, R.R
Pinkston, P
Poncet, A.M
Porto, A
Porto, A.J
Porto, A.J
Portz, G
Portz, G
Powell, K
Pullanagari, R
Qian, J
Qu, L
Röhrig, M
R. D. Pereira, R
ROSELL, J.R
Rahe, F
Rojo, F
Romier, C
Rosa, H
Rosa, H.J
Rothrock, C.S
Ruckelshausen, A
Rutter, M.S
SANZ, R
Salokhe, D.M
Sama, M.P
Sano, M
Santiago, W.E
Santos, H.P
Santos, I.M
Savoy, H.J
Scharf, P.C
Scheiber, M
Schepers, J.S
Schmidhalter, U
Schneider, D
Schneider, D
Schneider, M
Schumann, A
Schumann, A.W
Shackel, K
Shanahan, J.F
Sharda, A
Sharda, A
Sharma, A
Sharma, D.B
Shaver, T
Shearer, S.A
Sheridan, A
Shi, G.L
Shi, Y
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shibusawa, S
Shinde, G.U
Shirakawa, T
Shiratsuchi, L
Shiratsuchi, L
Sikora, R.A
Singh, G
Singh, M
Slater, G
Slaughter, D
Slaughter, D
Sousa, R
Sousa, R.V
Sousa, R.V
Spekken, M
Spurlock, T.N
Stanley, J
Stefanini, M
Steiner, U
Steiner, U
Stone, H
Suddth, K.S
Sudduth, K.A
Sudduth, K.A
Sudduth, K.A
Sudduth, K.A
Sugimoto, T
Suh, C
Sun, C
Sun, Z
Suokannas, A
TISSEYRE, B
Tangerino, G.T
Taubinger, L
Taylor, R.K
Thiel, M
Thomasson, A
Tinini, R.C
Trautz, D
Trebilcock, P
Tronco, M
Trotter, M
Trotter, M.G
Tubaña, B.S
Tumenjargal, E
Tumenjargal, E
Tuohy, M
Tyler, D.D
Udompetaikul, V
Udompetaikul, V
Ungar, E.D
Upadhyaya, S
Upadhyaya, S
V. de Sousa, R
Vancutsem, F
Varco, J.J
Vellidis, G
Vieri, M.P
Visala, A
Visala, A
Volk, T
Wadhai, V.M
Wagner, P
Wallenhammar, A
Wang, N
Wang, S.Y
Wang, X
Wang, X
Weiss, U
Werner, R
Westbrook, J
Westfall, D
Westfall, D.G
Wu, G
Wu, T
Xie, J
Xiu, W
Xu, G
Xue, X
Y. Inamasu, R
Yahya, A
Yan, Z.D
Yang, C
Yang, X
Yao, Y
Yin, X
Yue, S
Yule, I
Yule, I
Zainal Abidin, M.B
Zainal Abidin, M.B
Zaman, Q
Zaman, Q
Zaman, Q
Zhang, C
Zhang, H
Zhang, Q
Zhang, Q
Zhang, R
Zhao, C
Zhao, C
Zhao, J.C
Zhao, L
Zhou, C
cugnasca, C.E
http://icons.paqinteractive.com/16x16/ac, G
maas, S
vanSanten, E
Topics
Sensor Application in Managing In-season Crop Variability
Proximal Sensing in Precision Agriculture
Engineering Technologies and Advances
Precision Crop Protection
Profitability, Sustainability and Adoption
Site-Specific Pasture Management
Information Management and Traceability
Guidance, Robotics, Automation, and GPS Systems
Education and Training in Precision Agriculture
Type
Oral
Poster
Year
2010
2012
2014
2016
2024
Home » Topics » Results

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Filter results107 paper(s) found.

1. Implementation of ECU For Agricultural Machines Based On IsoAgLib Open Source

In this paper work, we consider implementation of electronic control unit (ECU) for agricultural machineries. Software implementation is based on IsoAgLib library developed by OSB&IT Engineering Company. We modify IsoAgLib and upgrade it for our target system. The IsoAgLib is an object oriented C++ library that has the communication services and management systems according to the ISO 11783 standard. This library allows building ISOBUS compatible equipment without the protocols implementa... E. Tumenjargal, L. Badarch, W. Ham, H. Kwon

2. An RFID-Based Variable Rate Technology Fertilizer Applicator for Plantation Tree Crops

Currently, in the Malaysian tree crop plantation, fertilizer is applied manually or mechanically at uniform rate without due consideration to nutrient variability. Potential wastage and excessive application of this fertilizer contaminates ground water and raises its mineral contents above the World Health Organization (WHO) limit for safe drinking water. However, Variable Rate Technology (VRT) fertilizer application promotes Green Engineering practice by reducing excessive fertilizer ap... A. Yahya

3. Computer Aided Engineering Analysis and Design Optimization for Precision Manufacturing of Tillage Tool: Sweep Cultivator

The process optimization in advance tillage tool system conceptually designed and fabricated by computer aided engineering analysis techniques. The Software testing a field performance is taken in the soil bed preparation as well as in the various crop patterns. It was found most use full in obtaining high weed removal efficiency. The precision geometry, optimum energy utilization, multi-operational design, easy transport and flexible attachments are some of the features which results in achi... G.U. Shinde, D.M. Salokhe, P.D. Badgujar, D.B. Sharma

4. Adaptive Sensor Fusion Method for Agricultural and Environmental Monitoring

Environmental and agricultural monitoring involves continuous observation in areas such as grains crop, in order to evaluate changes in the environment. Wireless Sensor Networks may be employed in th... C.E. Cugnasca, M.A. Dota

5. Optimization of Forage Harvesting By Automatic Speed Control and Additive Application

Efficient use of machines is especially important in forage harvesting due to the short harvesting period and expensive machinery. To achieve the best efficiency, a harvesting machine, such as a loader wagon, should be used with optimal loading. Whereas overloading the machine can cause blockages in the cut-and-feed unit, underloading consumes more time and reduces the quality of the resulting silage. In addition, the quality can be improved by optimizing the dosage of the additive. Since the... A. Suokannas, J. Backman, A. Visala, A. Kunnas

6. Study on Water Distribution Measurement in Sand Using Sound Vibration

... T. Sugimoto, T. Shirakawa, M. Sano, M. Ohaba, S. Shibusawa, Y. Nakagawa

7. Measuring Error on Working Depth of Real-time Soil Sensor

This paper described about the measuring error on working depth of the Real-time soil sensor (RTSS). It is necessary for accurately evaluating to observe the variation on the working depth, because the RTSS run in various real field conditions, such as soft or hard and even or uneven, and the RTSS has various using objective. In this paper, the RTSS run on asphalt with steps while the three-point hitch was free and position-controlled. In position-controlled, the measuring depth that is ... R. Kanda, M. Kodaira, S. Shibusawa

8. 3D Acquisition System Applied to Agronomic Scenes

To enable a better decision making by the farmer in order to optimize the crop management, it is essential to provide a set of information on basic parameters of the crops. These information are numerous and the image processing is increasingly used for disease detection, weed detection or yield estimation. We will focus initially on assessing the yield of a wheat crop in automatic way. This yield is directly related to the number of ears per square meter for which the counting is curren... F. Cointault, P. Gouton, B. Billiot

9. Water Distribution Response in a Soil-Root System for Subsurface Precision Irrigation

A subsurface capillary irrigation system with a water source buried in a soil has been developed for precision irrigation. This system has advantages in the efficient irrigation to save much water and the real time measurement of evapotranspiration of plants. Creating this new subsurface capilla... S. Shibusawa, M. Ohaba, M.B. Zainal abidin, M. Kodaira, Q. Li

10. Probabilistic Relational Model-based Scheduling Approach for Farmland Soil Sensor Network

  Energy efficiency is one of the core issues of farmland soil sensor network (FSSN). For battery powered FSSN, the energy constraint restricts lifetime of WSN, which poses great challenged to its large scale application. Prior work has suggested approaches to optimize the RF module and communication protocols to reduce power consumption of FSSN. Although shown to be ef... L. Chen, R. Zhang, G. Xu

11. Design Of A Data Acquisition System For Weighing Lysimeters

The weighing lysimeter is an important tool for scientists to con... C. Zhang, X. Xue, L. Chen, W. Huang

12. Study on Monitoring System of Wheat Sowing

       In order to real-time monitoring the sowing status of the multi-channel seeder, a distributed monitoring system is developed. The monitoring module of sowing and the monitoring terminal is designed with ... W. Fu, Z. Meng, G. Wu, J. Dong, H. Mei, C. Zhao

13. Spray Pattern and Droplet Spectra Characteristics from an Actively Controlled Variable-Orifice Nozzle

... M.P. Sama, S.A. Shearer, J.D. Luck

14. Spot- Application of Pre-Emergence Herbicide Using a Variable Rate Sprayer in Wild Blueberry

Wild blueberry producers apply herbicides uniformly to control grasses and weeds without considering the significant weed density variability and bare spots within fields. The repeated and excessive use of ... Q. Zaman, Y. Chang, A. Farooque, A. Schumann, D. Percival, M. Cheema, T. Esau

15. Development of Sensing System Using Digital Photography Technique for Spot-Application of Herbicide in Wild Blueberry Fields

An automated sensing system, hardware and software, was developed for spot-application of herbicide with 6.1 m boom automated prototype spraye... Q. Zaman, T.J. Esau, A.A. Farooque, A.W. Schumann, D.C. Percival, Y.K. Chang

16. Implementation of a Controller Unit Based on the ISO 11783 Standard for Automatic Measurement of the Electrical Conductivity of the Soil

... L. M. rabello, R. R. d. pereira, W. C. lopes, R. Y. inamasu, R. V. de sousa

17. Adaptive Control of Capillary Water Flow Under Modified Subsurface Irrigation Based on a SPAC Model

Soil moisture in a rhizosphere of a tomato is controlled adaptively based on a simple soil-plant-atmosphere continuum (SPAC) model. The water flow from a soil through a plant to the atmosphere is governed by the analogous rule of the SPAC model. In our experiment, we assume that plant transpiration is only affected by the water-potential of air when the soil m... M. Ohaba, M.B. zainal abidin, Q. Li, S. Shibusawa, M. Kodaira, K. Osato

18. Farmer Uptake of Variable Rate Irrigation Technologies in New Zealand

Cost effective technological advances in recent years have allowed the uptake of variable rate irrigation (VRI) systems in New Zealand. Typically an existing sprinkler irrigator is modified for variable rate irrigation, irrigation management zones are defined using EM (ele... C. Hedley, I. Yule

19. An Approach to Making Non-Smell Composting System : Case Study in Fuchu

The project to form ... R. Fusamura, S. Shibusawa, M. Kodaira

20. Development of Variable Rate Applicators Using Real-Time Machine Vision Sensing and Control System for Spot-Application of Agrochemicals

The variable rate applicators comprised of a real-time sensing and control system were developed and tested for spot-application of agrochemicals (fertilizer and pesticides). ... Q. Zaman

21. Pesticide Drift Control with Wireless Sensor Networks

Precision Agriculture is an agricultural practice that uses technology based on the principle of variability. The geographically referenced data implement the process of agricultural automation so as to dose fertilizers and pesticides. The efficient application of low cost pesticides without contamination the environment is an agricultural production challenge. The main effect to be avoided during application is pesticide drift. To minimize it is important to know the environmental conditions... C.E. Cugnasca, I.M. Santos

22. The Ultimate Soil Survey in One Pass: Soil Texture, Organic Matter, pH, Elevation, Slope, and Curvature

The goal of accurately mapping soil variability preceded GPS-aided agriculture, and has been a challenging aspect of precision agriculture since its inception.  Many studies have found the range of spatial dependence is shorter than the distances used in most grid sampling.  Other studies have examined variability within government soil surveys and concluded that they have limited utility in many precision applications.  Proximal soil sensing has long been envisioned as a metho... E. Lund, C. Maxton, G. Kweon

23. Use of Active Crop Canopy Reflectance Sensor for Nitrogen Sugarcane Fertilization

Researches about the use of ground-based canopy reflectance sensors aiming the nitrogen management fertilization on variable-rate over the sugarcane crop have been conducted in São Paulo, Brazil since 2007. Sugarcane response to nitrogen is variable, making difficult the development of models to estimate its d... L.R. Amaral, G. Portz, H. Rosa, J. Molin

24. Mapping the Leaf Area Index In Vineyard Using a Ground-Based LIDAR Scanner

The leaf area index (LAI) is defined as the one-sided leaf area per unit ground area and is probably the most widely used index to characterize grapevine vigour. However, direct LAI measurement requires the use of destructive leaves sampling methods which are costly and time-consuming and so are other indirect methods. Faced with these techniques, vineyard leaf area can be indirectly estimated using ground-based LIDAR sensors that scan the vines and get information about the geometry and/or s... J. Arno, I. Del moral, A. Escolà, J. Company, J.A. MartÍnez-casasnovas, J. Masip, R. Sanz, J.R. Rosell

25. Improvement of the Quality of “On-The-Go” Recorded Soil pH

An important basis for lime fertilisation is the recording of pH values. Many studies have shown that the pH value can vary greatly within a small area. Only through the development of a sensor by VERIS has it become possible to determine the pH value cheaply in a much higher sampling density than with the time and cost intensive laboratory method. With respect to their measurement principles, both methods differ fundamentally in that in the laboratory method an extraction medium is used. Thi... M. Schneider, T. Leithold, P. Wagner

26. Vegetation Indices from Active Crop Canopy Sensor and Their Potential Interference Factors on Sugarcane

Among the inputs usually used in the sugarcane production the nitrogen (N) is the most significant. With the use of ground-based canopy sensors to obtain vegetation indexes (VI), it is possible to obtain recommendations of nutrient supply i... L.R. Amaral, J.P. Molin, L. Taubinger

27. Nineteen-Soil-Parameter Calibration Models and Mapping for Upland Fields Using the Real-Time Soil Sensor

In precision agriculture, rapid, non-destructive, cost-effective and convenient soil analysis techniques are needed for soil management, crop quality control using fertilizer, manure and compost, and variable-rate input for s... S. Shibusawa, K. Ninomiya, M. Kodaira

28. Impact of Nitrogen (N) Fertilization on the Reflectance of Cotton Plants at Different Spatial Scales

This study was conducted to examine the reflectance of cotton plants measured at three different spatial scales: individual leaf, canopy, and scene, in relation to N treatment effects, and consequently to select the best spatial scale(s) for estimating chlorophyll or N contents. At the leaf scale, N treatments effects were most apparent at 550... S. Maas, F. Muharam

29. Temporal N Status Evaluation Using Hyperspectral Vegetation Indices in a Potato Crop

The amount and timing of nitrogen (N) fertilization represents a leading issue in precision agriculture, especially for potato (Solanum tuberosum L.) crop since N is an essential element for plant growth and tuber yield. Therefore, the ability to assess in-season crop N status from non-destructive methods such as proximal sensing is a promising alternative to optimize N f... A. Cambouris, K. Chokmani, T. Morier

30. Integrated Crop Canopy Sensing System for Spatial Analysis of In-Season Crop Performance

Over the past decade, the relationships between leaf color, chlorophyll content, nitrogen supply, biomass and grain yield of agronomic crops have been studied wi... L. Shiratsuchi, C.C. Lutz, R.B. Ferguson, V.I. Adamchuk

31. Estimating Soil Quality Indicators with Diffuse Reflectance Spectroscopy

Knowledge of within-field spatial variability in soil quality indicators is important to assess the impact of site-specific management on the soil. Standard methods for measuring these properties require considerable time and expense, so sensor-based approaches would b... R.J. Kremer, N.R. Kitchen, K.A. Sudduth, D.B. Myers

32. Evaluation of the Sensor Suite for Detection of Plant Water Stress in Orchard and Vineyard Crops

A mobile sensor suite was developed and evaluated to predict plant water status by measuring the leaf temperature of nut trees and grapevines. It consists of an infrared thermometer to measure leaf temperature along with relevant ambient condition sensors to measure microclimatic variables in the vicinity of the leaf. Sensor suite was successfully evaluated in three crops (almonds, walnuts and grapevines) for both sunlit and shaded leaves. Stepwise linear regression models developed for ... R. Dhillon, V. Udompetaikul, F. Rojo, S. Upadhyaya, D. Slaughter, B. lampinen, K. Shackel

33. Proximal Sensing Tools to Estimate Pasture Quality Parameters.

To date systems for estimating pasture quality have relied on destructive sampling with measurement completed in a laboratory which was very time consuming and expensive. Results were often not received until after the pasture was grazed which defeated the point of the measurement, as farmers required the information to make decisions about grazing strategies to e... R. Pullanagari, I. Yule, M. Tuohy, M. Hedley, W. King, . Dynes

34. Performance of Two Active Canopy Sensors for Estimating Winter Wheat Nitrogen Status in North China Plain

... Q. Cao, Y. Miao, G. Feng, X. Gao, B. Liu, R. Khosla

35. Different Leaf Sensing Approaches for the Estimation of Winter Wheat Nitrogen Status

Nondestructive real time diagnosis of crop N status is crucial to the development of precision nitrogen (N) management strategies. Chlorophyll meter has been a popular sensor for such purposes and different approaches to use this sensor has been developed using a threshold value, nitrogen sufficiency index (NSI) or ratio ... B. Liu, Y. Miao, G. Feng, S. Yue, F. Li, X. Gao

36. Assessing Water Status in Wheat under Field Conditions Using Laser-Induced Chlorophyll Fluorescence and Hyperspectral Measurements

Classical measurements for estimating water status in plants using oven drying or pressure chambers are tedious and time-consuming. In the field, changes in radiation conditions may further influence the measurements and thus requir... S. El-sayed, U. Schmidhalter, B. Mistele

37. Using Electronic Technology to Remotely Monitor Conditions, Transfer the Data, and Display Data Real-time on the Internet

This session describes the use of electronic equipment to monitor soil temperature and moisture, air temperature, relative humidity, wind speed, solar radiation, leaf wetness, and rainfall. Presenter will explain how to use the equipment to monitor conditions, transfer the data, and display the information in real-time on the I... R. Ashley, J. Nowatzki

38. A Model to Analyze “As-Applied” Reports of Variable Rate Applications

Variable rate technology enables users to access crop inputs such as fertilizers and pesticides, based on site specific information. This technology combines a variable rate control system, positioning system and GIS software to enable variable rate application. During operation some of these systems report information (“as-applied” files) about target rates and actual applied rates on georeferenced points along the ... A.F. Colaço, H.J. Rosa, J.P. Molin

39. Ontology for Data Representation in the Production of Cotton Fiber in Brazil

... C.S. Junior, A.R. Hirakawa

40. Towards a Multi-Source Record Keeping System for Agricultural Product Traceability

Agricultural production record keeping is the basis of traceability system. To resolve the problem including single method of information acquisition, weak ability of real-time monitoring and low credibility of history information in agricultural production process, t... C. Sun, Z. Ji, J. Qian, M. Li, L. Zhao, W. Li, C. Zhou, X. Du, J. Xie, T. Wu, L. Qu, L. Hao, X. Yang

41. Issues in Analysis of Soil-Landscape Effects in a Large Regional Yield Map Collection

     Yield maps are commonly collected by producers and precision-agriculture service providers and are accumulating in warehouse scale data-stores. A key goal in analysis of yield maps is to understand how climate interacts with soil landscapes to cause spatial and temporal variability in grain yield. However, there are many issues that limit utilization of yield map data for this purpose including: i) yield-landscape inversion between climate yea... N.R. Kitchen, K.A. Sudduth, D.B. Myers

42. Aggregating Precision Agriculture Data Across Regions

The analysis of precision agricultural data has largely focused on one field at a time and to a lesser extent to one individual farm. Recent developments have allowed those with access to data from across large regions to realize additional value by pooled community analysis of precision agriculture data.  Pool data analysis has provided greater value to individual farms than they would have gained by only using their own farm-level data. Statistical, economic, and risk methodologie... T. Griffin

43. A New Approach to Yield Map Creation

    One of the barriers to using yield maps as a data layer in precision agriculture activities is that the maps being generated to day are not very accurate in representing what really happened in field.  Numerous data errors in the way the data is collected, poor calibration habits on the part of opera... C. Romier, M. Hyrien, D. Lamker

44. Maximizing Agriculture Equipment Capacity Using Precision Agriculture Technologies

Guidance systems are one of the primary Precision Agriculture technologies adopted by US farmers. While most practitioners establish their initial AB lines for fields based on previous management patterns, a potential exists in conducting analyses to establish AB lines or traffic patterns which maximize field capacity. The objective of this study was t... A.M. Poncet, T.P. Mcdonald, G. Pate, B. Tisseyre, J.P. Fulton

45. Design and Implementation of Virtual Terminal Based On ISO11783 Standard for Agricultural Tractors

The modern agricultural machinery most common use of the embedded electronic and remote sensing technology demands adoption of the Precision Agriculture (PA). One of the common devices is the Virtual Terminal (VT) for tractor. The VT’s functions and terminology are described in the ISO11783 standard. This work presents the control system design and implementation of the VT and some Electronic Control Units (ECU) for agricultural vehicles based on the ISO 11783 standard. The VT developme... E. Tumenjargal, L. Badarch, W. Ham, H. Kwon

46. Path Generation Method with Steering Rate Constraint

The practical way to generate a reference path in path tracking is to follow an adjacent swath. However, if the adjacent swath contains sharp turnings, the reference path will eventually contain sharper turn than the tractor is able to follow. This occurs especially in the corner of a field plot when the field is driven around. In the headland, the objective is to minimize the time to reach the next swath. The commonly known method to generate the shortest path between two arbitrary... J. Backman, T. Oksanen, A. Visala

47. Research on Straight-Line Path Tracking Control Methods in an Agricultural Vehicle Navigation System

In the precision agriculture (PA), an agricultural vehicle navigation system is essential and precision of the vehicle path tracking is of great importance in such a system. As straight line operation is the main way of agricultural vehicles on large fields, this paper focuses on the discussion of straight-line path tracking control methods and proposes an agricultural vehicle path tracking algorithm based on the optimal control theory. First, the paper deduces a relative kinematics model of ... T. Li, J. Hu, L. Gao, H. Hu, X. Bai, X. Liu

48. Path Tracking Control of Tractors and Steerable Towed Implements Based On Kinematic and Dynamic Modeling

recise path tracking control of tractors became the enabling technology for automation of field work in recent years. More and more sophisticated control systems for tractors however revealed that exact positioning of the actual implement is equally or even more important. Especially sloped and curved terrain, strip till fields, buried drip irrigation tapes and high-value crop... G. Kormann, S. Mueller, R. Werner

49. Testing The Author Sequence - Finalize

This is just a test to verify the bug with the authors sequence. ... L. Longchamps, B. Panneton, D.G. Westfall, R. Khosla

50. Optimizing Path Planning By Avoiding Short Corner Tracks

... J.P. Molin, M. Spekken

51. A Remote Interface for a Human-Robot Cooperative Vineyard Sprayer

... Y. Edan, R. Berenstein, I. Ben-halevi

52. Improvement Precision Agricultural Communication Schema agroXML Based on Multi-Agents System's Deliberation and Decision Making Processes

... A. Pentjuðs, A. Gailums

53. Architecture and Model of Data Integration between Management Systems and Agricultural Machines for Precision Agriculture

 The development of robotic systems has challenges as the high degree of interdisciplinarity, the difficulty of integration between the various robotic contro... R. Dutra, R. Sousa, A. Porto, R. Inamasu, W. Lopes, M. Tronco

54. Evaluation of The Advantages of Using GPS-Based Auto-Guidance on Rolling Terrain Peanut Fields

  ... B.V. Ortiz, G. Vellidis, K. Balkcom, H. Stone, J. Fulton, E. Vansanten

55. Compatible ISOBUS Applications Using a Computational Tool for Support the Phases of the Precision Agriculture Cycle

... W.C. Lopes, G. Domingues, R.V. Sousa, A.J. Porto, R.Y. Inamasu, R.R. Pereira

56. Hyperspectral Imaging Of Sugar Beet Symptoms Caused By Soil-borne Organisms

The soil-borne pathogen Rhizoctonia solani and the plant parasitic nematode Heterodera schachtii are the most important constraints in sugar beet production worldwide. Symptoms caused by fungal infection are yellowing of leaves and rotting of the beet tuber late in the cropping season. Nematode afflicted plants show stunted growth early in the cropping season and also leaf wilting late in the season when water stress often sets in. Due to the low mobility of soil-borne organisms, they are ide... C. Hillnhuetter, A. Mahlein, R.A. Sikora, E. Oerke

57. Using An Active Crop Sensor To Detect Variability Of Nitrogen Supply On Sugar Cane Fields

Nitrogen management has been intensively studied on several crops and recently associated with variable rate application on-the-go based on crop sensors. On sugar cane those studies are yet scarce and as a biofuel crop the input of energy matters, looking for a high positive balance of biofuel production and low carbon emission on the whole production system. This paper shows the first results obtained using a nitrogen and biomass sensor (N-SensorTM ALS, Yara International ASA) aiming to indi... J. Molin, G. Portz, J. Jasper

58. Primary Framework Of Diagnosis And Management For Wheat Production Based On The Online Telemonitoring Networks

  PRIMARY FRAMEWORK OF DIAGNOSIS AND MANAGEMENT FOR WHEAT PRODUCTION BASED ON THE ONLINE TELEMONITORING NETWORKS   Sun Zhong-fu, Du Ke-ming, Zhang Yan, Liang Ju-bao   Inst. of Environ. & Sustainable Develop. in Agriculture£¨IEDA£© Chinese... Z. Sun, ,

59. Developing An Active Crop Sensor-based In-season Nitrogen Management Strategy For Rice In Northeast China

  Crop sensor-based in-season N management strategies have been successfully developed and evaluated for winter wheat around the world, but little has been reported for rice. The objective of this study was to develop an active crop sensor-based in-season N management strategy for upland rice in ... Y. Yao, Y. Miao, S. Huang, M.L. Gnyp, R. Jiang, X. Chen, G. Bareth

60. Canopy Reflectance Sensing As Impacted By Corn Hybrid Growth

  Detection of physical and chemical properties within the growing season could help predict the overall health and yield of a corn crop. Little research has been done to show differences of corn hybrids on canopy reflectance sensing. This study was conducted to examine these potential differences during the early- to mid-vegetative growth stages of corn on three different soil types in Missouri. Canopy sensing (Crop Circle) and SPAD chlorophyll met... A. Sheridan, K.A. Sudduth, N.R. Kitchen

61. Is A Nitrogen-rich Reference Needed For Canopy Sensor-based Corn Nitrogen Applications?

The nitrogen (N) supplying capacity of the soil available to support corn (Zea mays L.) production can be highly variable both among and within fields. In recent years, canopy reflectance sensing has been investigated for in-season assessment of crop N health and fertilization. Typically the procedure followed compares the crop in an area known to be non-limiting in N (called a N-rich area) to the crop in areas inadequately fertilized. Measurements from the two areas are used to ... N.R. Kitchen, K.S. Suddth, S.T. Drummond

62. Innovative Optical Sensors For Diagnosis, Mapping And Real-time Management Of Row Crops: The Use Of Polyphenolics And Fluorescence

Force-A’s Dualex® leaf-clips and Multiplex® proximal optical sensors give rapid and quantitative estimations of chlorophyll and polyphenolics of crops by measuring the fluorescence and absorption properties of these molecules. The in vivo and real-time assessments of these plant compounds allow us to define new indicators of crop nitrogen status, health and quality. The measurements of these indicators allow consultants and farmers to monitor the nitrogen status of row crop... V. Martinon, , C. Duval, J. Fumery

63. Ultra Low Level Aircraft (ULLA) As A Platform For Active Optical Sensing Of Crop Biomass

Crop producers requiring crop biomass maps to support timely application of in-season fertilisers, pesticides or growth regulators rely on either on-ground active sensors or airborne/satellite imagery. Active crop sensing (for example using Yara N-SensorTM, GreenseekerTM or CropcircleTM) can only be used when the crop is accessible by person or vehicle, and extensive, high-resolution coverage is time consuming. On the other hand, airborne or satellite imaging ... D.W. Lamb, M.G. Trotter, D. Schneider

64. Investigation Of Crop Varieties At Different Growth Stages Using Optical Sensor Data

Cotton, soybean and sorghum are economically important crops in Texas. Knowing the growing status of crops at different stages of growth is crucial to apply site-specific management and increase crop yield for farmers. Field experiments were initiated to measure cotton, soybean and sorghum plants growth status and spatial variability through the whole growing cycle. A ground-based active optical sensor, Greenseeker®, was used to collect the Normalized Difference Vegetation Index (NDVI) da... H. Zhang, Y. Lan, J. Westbrook, C. Suh, C. Hoffmann, R. Lacey

65. Performance Evaluation Of Off-shelf Range Sensors For In-field Crop Height Measurement

Abstract: In-season plant height is a good predictor of yield potential, which needs to be measured with techniques of high spatial resolution and accuracy. In this study, systematic performance evaluations were conducted on three types of commercial range sensors, an ultrasonic sensor, a laser range finder and a range camera on plant height measurement, under laboratory and field conditions. Results showed that the average errors between the measured heigh... N. Wang, Y. Shi, R.K. Taylor

66. A Model For Wheat Yield Prediction Based On Real-time Monitoring Of Environmental Factors

... B. Dumont, F. Vancutsem, J. Destain, B. Bodson, F. Lebeau, M. Destain

67. Real-time Calibration Of Active Crop Sensor System For Making In-season N Applications

... K.H. Holland, J.S. Schepers

68. Comparison Of Three Canopy Reflectance Sensors For Variable-rate Nitrogen Application In Corn

In recent years, canopy reflectance sensing has been investigated for in-season assessment of crop nitrogen (N) health and subsequent control of N fertilization. The several sensor systems that are now commercially available have design and operational differences. One difference is the sensed wavelengths, although these typically include wavelengths in both the visible and near-infrared ranges. Another difference is orientation – the sensors most commonly used in the US are designed to... K.A. Sudduth, N.R. Kitchen, S.T. Drummond

69. Changes Of Data Sampling Procedure To Avoid Energy And Data Losses During Microclimates Monitoring With Wireless Sensor Networks

... J.C. Benavente, C.E. Cugnasca, M.F. Barros, H.P. Santos, G. Http://icons.paqinteractive.com/16x16/ac

70. Development Of A Nitrogen Requirement Algorithm Using Ground-based Active Remote Sensors In Irrigated Maize

Studies have shown that normalized difference vegetation index (NDVI) from ground-based active remote sensors is highly related with leaf N content in maize (Zea mays). Remotely sensed NDVI imagery can provide valuable information about in-field N variability in maize and significant linear relationships between sensor NDVI and maize grain yield have been found suggesting that an N recommendation algorithm based on NDVI could optimize N application. Therefore, a study was conducted using the ... T. Shaver, R. Khosla, D. Westfall

71. Comparison Of Spectral Indices Derived From Active Crop Canopy Sensors For Assessing Nitrogen And Water Status

... L. Shiratsuchi, R.B. Ferguson, J.F. Shanahan, V.I. Adamchuk, G. Slater

72. Embedded Sensing System To Control Variable Rate Agricultural Inputs

 This paper presents an embedded sensing system for agricultural machines to collect information about plants and also to control the application of fertilizer with variable rate in corn crop. The Crop Circle reflectance sensor was used with the aim to explore the spe... G.T. Tangerino, R.V. Sousa, A.J. Porto, R. . Inamasu, P. Pinkston

73. Development Of Batch Type Yield Monitor For Small Fields

 Abstract The yield monitor is intended to give the user an accurate assessment of yield variations y within a field. A yield monitor can assist grain producers in many aspects of crop management. A yield monitor by itself can provide useful information and enhance on-farm research. Yield data c... M. Singh, A. Sharma, G. Singh, P. Fixen

74. Assessment Of Physiological Effects Of Fungicides In Wheat

The use of fungicides is one of the most widespread methods implemented in intensive crop production focused in solving phytosanitary problems. The use of fungicides belonging to groups such as strobilurins has been associated with positive physiological effects such as increased tolerance against abiotic stresses, changes in plant growth regulator activities and delayed leaf senescence. The use of thermography is a non- destructive method which permits to distinguish physiological changes ca... C. Berdugo, U. Steiner, E. Oerke, H. Dehne

75. Development Of A Sensor Suite To Determine Plant Water Potential

The goal of this research was to develop a mobile sensor suite to determine plant water status in almonds and walnuts. The sensor suite consisted of an infrared thermometer to measure leaf temperature and additional sensors to measure relevant ambient conditions such as light intensity, air temperature, air humidity, and wind speed. In the Summer of 2009, the system was used to study the relationship between leaf temperature, plant water status, and relevant microclimatic information in an al... V. Udompetaikul, S. Upadhyaya, B. Lampinen, D. Slaughter

76. Sensor And System Technology For Individual Plant Crop Scouting

Sensor and system technologies are key components for automatic treatment of individual plants as well as for plant phenotyping in field trials. Based on experiences in research and application of sensors in agriculture the authors have developed phenotyping platforms for field applications including sensors, system and software development and application-specific mountings.   Sensor and data fusion have a high potential by compensating varying s... A. Ruckelshausen, K.V. Alheit, L. Busemeyer, R. Klose, A. Linz, K. Moeller, F. Rahe, M. Thiel, D. Trautz, U. Weiss

77. Vlite Node – New Sensor Technology For Precision Farming

... K. Charvat, J. Jezek, M. Musil, Z. Krivanek, P. Gnip

78. Cognitive Radio In Precision Agriculture

 This is an attempt to design a precision agriculture (PA) model, to control the required parameters in greenhouse with wireless sensor network (WSN). This proto type model of wireless sensor and actuators network is designed as per required parameters of available crops in a greenhouse. The design of the sensor node consists of sensors, a micro-controller and a low-powered radio module. Real-time data, enable the operators to characterise the operating parameters of the greenhouse and a... S.P. Nayse, D.D. Choudhari, V.M. Wadhai

79. Optimizing Vineyard Irrigation Through The Automatic Resistivity Profiling (arp) Technology. The Proposal Of A Methodological Approach

 In Tuscany, central Italy, grape cultivation and wine production (i.e., Chianti DOCG, Brunello di Montalcino) are farming activities appreciated worldwide. Differently from the past, irrigation is allowed to meet the intense physiological stress that may occur during seasons affected by the increasing climate variability, in order to guarantee quality product and hence high market profitability in many vines areas. Most ... P. Pagni, G.P. Ghinassi, M.P. Vieri

80. Canopy Reflectance-based Nitrogen Management Strategies For Subsurface Drip Irrigated Cotton

Nitrogen (N) fertilizer management in subsurface drip irrigation (SDI) systems for cotton (Gossypium hirsutum L.) can be very efficient when N is fertigated on a near daily time step.  Determining the amounts and timing of the N fertigation, however are questions that weekly canopy reflectance measurements may answer.   The main objective of this 3-yr. study was to test two canopy reflectance strategies for adjusting urea ammonium nitrate (UAN) fertilizer in-season injections... K. Bronson

81. Edxrfs-based Sensing Of Phosphorus And Other Mineral Macronutrient Distribution In Field Soils

Phosphorus (P) requirements for major agronomic crops have been currently based on a pre-plant mass balance method.  Fertilizer needs are estimated from crop needs, available soil P and other external nutrient inputs that include animal manure, crop residues, etc...  Thus, this approach uses f... T.H. Dao

82. Development Of Variable Rate System For Soil Disinfection Based On Injection Technique

Abstract:  A variable rate system injection of soil pesticide was developed for control of soil pesticide amount by PWM. The paper analyzes the input and output conditions of control system, and designed hardware, algorithm and control of soil pesticide, mainly software flow and a feedback control way. In the paper, the variable-rate control system consisted of time delay, interface module, micro controller, speed sensor, PWM valve, and hyd... W. Ma, X. Wang

83. Perspectives For Site Specific Application Of Soil Herbicides In Arable Farming

Soil herbicides kill plants via root uptake. The use of soil herbicides can be made more sustainable by adjusting the dosage to the local soil condition. This so called Variable Rate Application (VRA) is the core of Precision Farming. Soil herbicides often play an important role in weed control strategies in conventional arable farming. Broad field uniform application is by far the most common application method. However, with increasing advances in sensing and ... S. Heijting, C. Kempenaar

84. Using Airborne Imagery To Monitor Cotton Root Rot Infection Before And After Fungicide Treatment

Cotton root rot, caused by the soilborne fungus Phymatotrichopsis omnivore, is a severe soilborne disease that has affected cotton production for over a century. Recent research has shown that a commercial fungicide, flutriafol, has potential for the control of this disease. To effectively and economically control this disease, it is necessary to identify infected areas within the field so that variable rate technology can be used to apply fungicide only to th... C. Yang, G.N. Odvody, R.R. Minzenmayer, R.L. Nichols, T. Isakeit, A. Thomasson

85. Weed Identification From Seedling Cabbages Using Visible And Near-Infrared Spectrum Analysis

Target identification is one of the main research content and also a key point in precision crop protection. The main purpose of the study is to choose the characteristic wavelengths (CW for short) to classify the cabbages and the weeds at their seedling stage using different data analysis methods. Using a handheld full-spectrum FieldSpec-FR, the canopies of the seedling plants, cabbage ‘8398, cabbage ‘zhonggan’, Barnyard grass, green foxtail, goosegr... W. Deng, X. Wang, C. Zhao, Y. Huang

86. Pesticide Application Manager (PAM) - Decision Support In Crop Protection Based On Terrain-, Machine-, Business- And Public Data

Introduction   Pesticide Application Manager (PAM) is a project, co-financed by the German Federal Office for Agriculture and Food (BLE) that aims to develop solutions for automating important processes in crop protection.   Due to a series of rules and legal requirements for planning, implementation and documentation, crop protection is one of the ... B. Kleinhenz, M. Röhrig, M. Scheiber, J. Feldhaus, B. Hartmann, B. Golla, C. Federle , D. Martini

87. Fungiprecise - A German Project For Precise Real-Time Fungicide Application In Winter Wheat

Regarding to real-time or online technologies in recent years, new technologies has been introduced into practical farming especially in the field of nitrogen application. These technologies are based on sensors mainly detecting the canopy reflectance. In the field of plant protection, although few sensor-based real-time technologies in weed control and growth regulator application are marked available, solutions for fungicide application are mostly missing currently. Amongst ot... P. Leithold, T. Volk, K. Dammer

88. Thermal Sensing Of Roses Affected By Downy Mildew

Downy mildew caused by the oomycete Peronospora sparsa affects roses and is a serious problem in nurseries and cut roses in commercial greenhouses, especially in those without heating systems. The disease, which affects the quality and the yield of roses, develops fast under suitable environmental conditions. Currently it is controlled mainly by the application of foliar fungicides and removal of symptomatic plant material due to the limited availability of resistant cu... E. Oerke , H. Dehne, S. Gómez, U. Steiner

89. Recognition And Classification Of Weeds In Sugarcane Using The Technique Of The Bag Of Words

The production of sugar and ethanol in Brazil is very prominent economically and the reducing costs and improving the production system being necessary. The management crops operations of sugarcane and the control of weed is one of the processes that cause the greatest increase in production costs; because the competition that exists between cane plants and weed, for water, nutrients and sunlight is big, contribute to the loss of up to 20% of the useful cane. The use of image processing ... W.E. Santiago, A.R. Barreto, D.G. Figueredo, R.C. Tinini, B.T. Mederos, N.J. Leite

90. Diagnosis Of Sclerotinia Infected Oilseed Rape (Brassica Napus L) Using Hyperspectral Imaging And Chemomtrics

 Abstract: Brassica napus L leaf diseases could cause seriously reduction in crop yield and quality. Early diagnosis of Brassica napus L leaf diseases plays a vital role in Brassica napus L growth. To explore an effective methodology for diagnosis of Sclerotinia infected Brassica napus L plants, healthy Brassica napus L leaves and Brassica napus L leaves infected by Sclerotinia were prepared in a controlled circumstance. A visible/short-wave near infrared hyperspect... N. Chen, F. Liu, L. Jiang, L. Feng, Y. He, Y. Bao

91. Effect Of Time Of Application On Spray Coverage Using Solid Set Canopy Delivery System

Permanent or solid set canopy delivery system can be used for foliar application in tree fruit orchards. The emitters are placed along the tree rows and are very close to tree canopy. During spray application droplets quickly get deposited on tree canopy and coverage of up to 90% could be achieved. However concerns still exist regarding critical time required to achieve target coverage using SSCD system. This knowledge of selecting an appropriate application time could help grow... M. Karkee, Q. Zhang, A. Sharda

92. A Portable Instrument For Recognition Of Farm Weeds And Management Of Chemical Spray

With the information technology being popularization and application and farmers’ knowledge level being increase in China, smartphone has been accepted by peasants used as terminal of information collection and query. Recently, because of the serious diseases and insect pests, it is impossible to prevent and control these disasters when we only rely on grassroots staffs’ investigation or professors’ instruction. If each of these farmers distributed in all of the country... S. Jian, W. Xiu, Z.D. Yan

93. Biological Soil Mapping - Infesttion By Plasmodiophora Brassicae And Soil Characteristics

Clubroot, caused by Plasmodiophora brassicae, is a soilborne pathogen that causes severe yield losses in many Brassica crops. It is a increasing problem in many Brassica growing countries. The spores survive for 15-20 years and might cause significant yield losses (>10%), already when 20% of plant are infected. An infestation with a couple of thousands spores/g soil is considered to have the potential to give such significant losses... C. Aberger, A. Wallenhammar, A. Jonsson

94. Disease Scouting For Aerial Blight Based On Logical Areas Of Collection In Soybean Fields Rotated With Rice

Rhizoctonia solani AG1-IA causes sheath blight in rice and aerial blight in soybean.  In Arkansas, rice and soybean rotations facilitate a continuous source of R. solani AG1-IA inoculum from one year to the next.    Aerial blight is a two stage disease where colonization of the plant occurs during the early vegetative growth stages and aerial blight symptoms occur during the reproductive growth stages after canopy closure.  At canopy cl... C.S. Rothrock, W.S. Monfort, T.W. Griffin, T.N. Spurlock

95. Use Of Vegetation Indices In Variable Rate Application Of Potato Haulm Killing Herbicides

Variable rate application (VRA) of pesticides based on measured spatial variation in crop biomass is possible with currently available crop reflection sensors (remote and proximity), GNSS technology and modern field sprayers. VRA has the potential to contribute to a more sustainable use of pesticide. Dose rates are optimized based on local requirements at a scale of about 5-50 m2, leading to less adverse side effects, less costs and higher yields. In the longer term, ... C. Kempenaar, T. Been, F.V. Evert

96. Using A Decision Tree To Predict The Population Density Of Redheaded Cockchafer (Adoryphorus Couloni) In Dairy Fields

A native soil dwelling insect pest, the redheaded cockchafer (Adoryphorus couloni) (Burmeister) (RHC) is an important pest in the higher rainfall regions of south-eastern Australia. Due to the majority of its lifecycle spent underground feeding on the roots and soil organic matter the redheaded cockchafer is difficult to detect and control. The ability to predict the level of infestation and location of redheaded cockchafers in a field may give producers the option to use an endophyte co... A. Cosby, G. Falzon, M. Trotter, J. Stanley, K. Powell, D. Schneider, D. Lamb

97. Determinants of Ex-ante Adoption of Precision Agriculture Technologies by Cocoa Farmers in Ghana

The study was to identify the best predictors of cocoa Farmers willingness to adopt future Precision Agriculture Technology (PAT) Development in Ghana. Correlational research design was used. The target population was all cocoa farmers who benefited from Cocoa High Technology Programme (an initiative of distributing free fertilizer by government to cocoa farmers) in Ghana. Multistage sampling technique was used to select 422 out of 400,000 cocoa farmers in the six (6) out of the seven (7) coc... M. Bosompem, J.A. Kwarteng, H.D. Acquah

98. Site-specific Scale Efficiency Determined by Data Envelopment Analysis of Precision Agriculture Field Data

Since its inception and acceptance as a benchmarking tool within the economics literature, data envelopment analysis (DEA) has been used primarily as a means of calculating and ranking whole-farm entities marked as decision making units (DMU) against one another.  Within this study, instead of ranking the entire farm operation against similar peers that encompass the study, individual data points from within the field are evaluated to analyze the site-specific technical efficiencies esti... J.L. Maurer, T.W. Griffin, A. Sharda

99. Yield, Residual Nitrogen and Economic Benefit of Precision Seeding and Laser Land Leveling for Winter Wheat

Rapid socio-economic changes in China, such as land conversion and urbanization etc., are creating new scopes for application of precision agriculture (PA). It remains unclear the application effective and economic benefits of precision agriculture technologies in China. In this study, our specific goal was to analyze the impact of precision seeding and laser land leveling on winter wheat yield,... J. Chen , P.L. Chen, J.C. Zhao, S.Y. Wang, J.C. Li, Q. Zhang, T.H. Hu, G.L. Shi

100. Maize Seeding Rate Optimization in Iowa Using Soil and Topographic Characteristics.

The ability to collect soil, topography, and productivity information at spatial scales has become more feasible and more reliable with many advancement in precision technologies. This ability, combined with precision services and the accessibility farmers have to equipment capable implementing precision practices, has led to continued interest in making site-specific crop management decisions. The objective of this research was to utilize soil and topographic parameters to optimize seeding r... M.A. Licht, A. Lenssen, R. Elmore

101. Net Returns and Production Use Efficiency for Optical Sensing and Variable Rate Nitrogen Technologies in Cotton Production

This research evaluated the profitability and N use efficiency of real time on-the-go optical sensing measurements (OPM) and variable-rate technologies (VRT) to manage spatial variability in cotton production in the Mississippi River Basin states of Louisiana, Mississippi, Missouri, and Tennessee. Two forms of OPM and VRT and the existing farmer practice (FP) were used to determine N fertilizer rates applied to cotton on farm fields in the four states. Changes in yields and N rates due to OPM... J.A. Larson, M. Stefanini, D.M. Lambert, X. Yin, C.N. Boyer, J.J. Varco, P.C. Scharf , B.S. Tubaña, D. Dunn, H.J. Savoy, M.J. Buschermohle, D.D. Tyler

102. Within-field Profitability Assessment: Impact of Weather, Field Management and Soils

Profitability in crop production is largely driven by crop yield, production costs and commodity prices. The objective of this study was to quantify the often substantial yet somewhat illusive impact of weather, management, and soil spatial variability on within-field profitability in corn and soybean crop production using profitability indices for profit (net return) and return-on-investment (ROI) to produce estimates. We analyzed yield and cropping system data provided by 42 farmers within ... P.M. Kyveryga, S. Fey, J. Connor, A. Kiel, D. Muth

103. AGTECH CHILE: an Outreach and Technology Transfer Platform for Closing Gaps in Emerging Chilean Precision Agriculture Companies

Precision agriculture (PA) is being developed in Chile since 1997. Today there are approximately 20 companies providing products and services in PA at different levels. Most of them are young entrepreneurships which have important knowledge gaps, particularly on technology basis and data management to transform them into useful information. In order to help closing some of the gaps, and contributing to the development of an innovation ecosystem, an extension proposal was developed, ... R.A. Ortega, P. Trebilcock

104. A Context Changing with Precision Agriculture in Japan

A new context is emerging under introducing of precision agriculture, impacted by top-down ICT policies and bottom-up collaborative activities. Food chain is changing by a holistic technology policy of integration in the fields of breeding, farm production, processing, transportation, and market in consumers. A new ICT strategy was issued by the government for precision agriculture to enhance the interoperability and portability of data/information sets collected from the field. The administr... S. Shibusawa

105. A Multi-objective Optimisation Analysis of Virtual Fencing in Precision Grazing

Virtual fencing is a precision livestock farming tool consisting of invisible boundaries created via Global Navigation Satellite Systems (GNSS) and managed remotely and in real time by app-based technology. Grazing livestock are equipped with battery-powered collars capable of delivering audio or vibration cues and possibly electric shocks when approaching or crossing an invisible boundary. Virtual fencing makes precision grazing possible without the need for physical fences. This technology ... E. Maritan, K. Behrendt, J. Lowenberg-deboer, S. Morgan, M.S. Rutter

106. Design of an Automatic Travelling Electric Fence System for Sustainable Grazing Management

Fences are used in Precision Livestock Farming (PLF) to prevent herbivores from overgrazing and under grazing forages. While effective in controlling animal entry and exit, traditional fences are not flexible enough to meet the needs of both foraging animals and plants in terms of both nutrient availability and physiological demands. An electric fencing system is a form of traditional fencing that employs an electric charge to create a barrier and dissuade animals or people from crossing it. ... M. Alahe, Y. Chang, J.O. Kemeshi, S. Gummi, H. Menendez iii

107. Detection of Goat Herding Impact on Vegetation Cover Change Using Multi-season, Multi-herd Tracking and Satellite Imagery

The frequency and severity of Mediterranean forest fires are expected to worsen as climate change progresses, heightening the need to evaluate understory fuel management strategies as rigorously as possible. Prescribed small-ruminant foraging is considered a sustainable, cost-effective strategy, but demonstrating a link between animal presence and vegetation change is challenging. This study tested whether the effect of small-ruminant herd presence in Mediterranean woodlands can be detected b... T. Paz kagan, V. Alexandroff, E.D. Ungar