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Roberts, R.K
Wiseman, L
Roberts, J
Hartmann, B
Beneduzzi, H.M
Benjamin, D
Dammer, K
Booij, J.A
Roland, L
Wright, T.M
Nišavić , N
Baio, F
Hansel, D
Rabello, L.M
Reeves, J.M
Noland, R
Dorais, M
Nault, J
Reicks, G
Dzinaj, T
Grego, C.R
Yazdani, S
Bao, H
Rodrigues, F
Naima, B
Fernandez, F.G
Nafziger, E
Hartschuh, J.M
Bishop-Hurley, G
Brasco, T
Dong, J
Roberts, D
Duff, H
Rydberg, A
Dar, Z
Isenhart, T.M
Hamagami, K
Gray, G.R
Backman, J
Ferraz, M.N
Heijting, S
Barnes, W
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Authors
Backman, J
Oksanen, T
Visala, A
Lambert, D.M
Larson, J.A
English, B.C
Rejesus, R.M
Marra, M.C
Mishra, A.K
Wang, C
Watcharaanantapong, P
Roberts, R.K
Velandia, M
Suokannas, A
Backman, J
Visala, A
Kunnas, A
Majdi, M
Benjamin, D
Marie-France, D
Marine, L
Manon, M
Claire, G
Laurent, P
Mostafa, F
Zoran, C
Naima, B
Sébastien, D
Olivier, G
de Oliveira, R.P
Bernardi, A.C
Benites, V.D
Rabello, L.M
Inamassu, R.Y
Fu, W
Meng, Z
Wu, G
Dong, J
Mei, H
Zhao, C
Cohen, Y
Alchanatis, V
Heuer, B
Lemcoff, H
Sprintsin, M
Rosen, C
Mulla, D
Nigon, T
Dar, Z
Cohen, A
Levi, A
Brikman, R
Markovits, T
Rud, R
Tremblay, N
Vigneault, P
Bouroubi, M.Y
Dorais, M
Gianquinto, G.P
Tempesta, M
Tomer, M
Isenhart, T.M
James, D.E
Baio, F
Bernardi, A.C
Grego, C.R
Andrade, R.G
Vaz, C.M
Rabello, L.M
Inamasu, R.Y
Baio, F
Antuniassi, U
Baio, F
Amakor, X
Jacobson, A.R
Cardon, G.E
Hawks, A
Barnes, W
Ruckelshausen, A
Dzinaj, T
Kinder, T
Bosse, D
Klose, R
Velandia, M
Mooney, D.F
Roberts, R.K
English, B.C
Larson, J.A
Lambert, D.M
Larkin, S.L
Marra, M.C
Rejesus, R
Martin, S.W
Paxton, K.W
Mishra, A
Wang, C
Segarra, E
Reeves, J.M
Heijting, S
Kempenaar, C
Kleinhenz, B
Röhrig, M
Scheiber, M
Feldhaus, J
Hartmann, B
Golla, B
Federle , C
Martini, D
Sundström, B
Åström, H
Rydberg, A
Olsson, J
Leithold, P
Volk, T
Dammer, K
Souza, E
Schenatto, K
Rodrigues, F
Rocha, D
Bazzi, C.L
Bishop-Hurley, G
Overs, L
Brosnan, S
Krumpholz, A
Henry, D
Spekken, M
Molin, J.P
Romanelli, T.L
Ferraz, M.N
Ferraz, M.N
Molin, J.P
Bean, G
Kitchen, N.R
Franzen, D.W
Miles, R.J
Ransom, C
Scharf, P
Camberato, J
Carter, P
Ferguson, R.B
Fernandez, F.G
Laboski, C
Nafziger, E
Sawyer, J
Shanahan, J
Gavioli, A
Souza, E.G
Bazzi, C.L
Betzek, N.M
Schenatto, K
Beneduzzi, H.M
Schenatto, K
de Souza, E.G
Bazzi, C.L
Gavioli, A
Betzek, N.M
Beneduzzi, H.M
Fu, W
Wu, G
Bao, H
Wei, X
Meng, Z
Trotter, M
Gregory, S
Trotter, T
Acuna, T
Swain, D
Fasso, W
Roberts, J
Zikan, A
Cosby, A.M
Nowatzki, J
Bajwa, S
Roberts, D
Ossowski, M
Scheve, A
Johnson, A
Chaplin, Y
Ransom, C.J
Bean, M
Kitchen, N
Camberato, J
Carter, P
Ferguson, R.B
Fernandez, F.G
Franzen, D.W
Laboski, C
Nafziger, E
Sawyer, J
Shanahan, J
Sanches, G.M
Amaral, L.R
Pitrat, T
Brasco, T
Magalhaes, P.S
Duft, D.G
Franco, H.C
Hirai, Y
Beppu, Y
Mori, Y
Tomita, K
Hamagami, K
Mori, K
Uchida, S
Inaba, S
Cerri, D.G
Gray, G.R
Magalhães, P.S
Wiseman, L
Sanderson, J
Dong, J
Meng, Z
Cong, Y
Zhang, A
Fu, W
Pan, R
Yang, Q
Shang, Y
Roland, L
Lidauer, L
Sattlecker, G
Kickinger, F
Auer, W
Sturm, V
Efrosinin, D
Drillich, M
Iwersen, M
Berger, A
Trevisan, R.G
Eitelwein, M.T
Ferraz, M.N
Tavares, T.R
Molin, J.P
Neves, D.C
Fu, W
Dong, J
Cong, Y
Gao, N
Li, Y
Meng, Z
van Evert, F.K
Been, T
Booij, J.A
Kempenaar, C
Kessel, G.J
Molendijk, L.P
Kitchen, N.R
Yost, M.A
Ransom, C.J
Bean, G
Camberato, J
Carter, P
Ferguson, R
Fernandez, F
Franzen, D
Laboski, C
Nafziger, E
Sawyer, J
KC, K
Hannah, L
Roehrdanz, P
Donatti, C
Fraser, E
Berg, A
Saenz, L
Wright, T.M
Hijmans, R.J
Mulligan, M
Ferraz, M.N
Trevisan, R.G
Eitelwein, M.T
Molin, J
Karp, F.H
Hatfield, G
Reicks, G
Carter, E
Marmette, M
Adamchuk, V
Nault, J
Tabatabai, S
Cocciardi, R
Yazdani, S
Nikravesh, S
Bagheri, S
Porter, W
Daughtry, D
Harris, G
Noland, R
Snider, J
Virk, S
Duff, H
Maxwell, B
Balboa, G
Puntel, L
Melchiori, R
Ortega, R
Tiscornia, G
Bolfe, E
Roel, A
Scaramuzza, F
Best, S
Berger, A
Hansel, D
Palacios, D
Hartschuh, J.M
Fulton, J.P
Shearer, S.A
Enger, B.D
Schuenemann, G.M
Nišavić , N
Topics
Guidance, Robotics, Automation, and GPS Systems
Global Proliferation of Precision Agriculture and its Applications
Engineering Technologies and Advances
Food Security and Precision Agriculture
Sensor Application in Managing In-season Crop Variability
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Precision Horticulture
Precision Conservation
Engineering Technologies and Advances
Precision Nutrient Management
Spatial Variability in Crop, Soil and Natural Resources
Remote Sensing Applications in Precision Agriculture
Education and Training in Precision Agriculture
Profitability, Sustainability, and Adoption
Precision Crop Protection
Profitability, Sustainability and Adoption
Precision Conservation Management
Precision Dairy and Livestock Management
Decision Support Systems in Precision Agriculture
Proximal Sensing in Precision Agriculture
Precision Nutrient Management
Engineering Technologies and Advances
Agricultural Education
Unmanned Aerial Systems
Sensor Application in Managing In-season Crop Variability
Spatial and Temporal Variability in Crop, Soil and Natural Resources
Engineering Technologies
Precision Agriculture and Global Food Security
Precision Dairy and Livestock Management
Precision Crop Protection
Profitability and Success Stories in Precision Agriculture
In-Season Nitrogen Management
Geospatial Data
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
On Farm Experimentation with Site-Specific Technologies
Applications of Unmanned Aerial Systems
Land Improvement and Conservation Practices
ISPA Community: Latin America
Precision Dairy and Livestock Management
Industry Sponsors
Type
Poster
Oral
Year
2012
2010
2014
2016
2008
2018
2022
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Filter results52 paper(s) found.

1. Extending The Concept Of Precision Conservation To Restoration Of Rivers And Streams

Comprehensive water quality management in watersheds involves management of upland and riparian environments. Efforts to optimize environmental performance of agriculture through field-scale precision conservation should be complemented with riparian restorations to enhance capacities to assimilate... M. Tomer, T.M. Isenhart, D.E. James

2. Evaluation And Contrast Of An Auto Guidance System Operating On A Sugar Cane Harvester In Brazil

The change on the harvesting sugar cane operation from the manual to mechanized cut  increased the amount of sugar cane cut by the mill per day, but the operation increased the cane loss, which is left behind on the field. The purpose of this work was to contrast the accuracy achieved... F. Baio

3. Spatial Variability Of Crop And Soil Properties In A Crop-livestock Integrated System

The knowledge of spatial variability soil properties is useful in the rational use of inputs, as in the site specific application of lime and fertilizer. The objective of this work was to map and evaluate the spatial variability of the crop, soil chemical and physical properties. The study was conducted in 2 areas of 6.9 and 11.7 ha of a Typic Haplustox in Sao Carlos, SP, Brazil. The summer crops corn and sorghum were sowed together to the forage crop Brachiaria brizantha in the system of crop-pasture... A.C. Bernardi, C.R. Grego, R.G. Andrade, C.M. Vaz, L.M. Rabello, R.Y. Inamasu

4. Interaction Between Air Spray Drift And Climatic Conditions Creating Drift Map Related To The Aerial Application Of Pesticides Using Low Volumes In Brazil

Between 30 to 50% of the pesticides total applied over agricultural areas can be lost by the air, depending of the applying conditions, by the spray drift action. This spray drift problem is increased when the field is too close to the urban locations, bringing environmental contamination, and when the application is made with oil on the tank mixture. The society demands by... F. Baio, U. Antuniassi

5. Computer Model By A Linear Program And Via Internet To Select Agricultural Mechanized Systems Based On The Smallest Operational Cost

Computer programs have been used to help the farmers on the fleet selection. However, these computing models are based on the previous choice of the mechanized system made by the user. On this context, the purpose of this work was to develop a free computer model by a linear program and via internet to select agricultural mechanized systems based... F. Baio, ,

6. Apparent Electrical Conductivity Calibration In Semiarid Soils: Ion-pair Correction

The electromagnetic induction sensor (EM38DD) is a field proven portable sensor for rapid measurement of the apparent electrical conductivity (ECa) of soils. Calibration with the electrical conductivity of saturation paste extracts is the most widely used method to correlate ECa with the effective electrical conductivity (ECe). A drawback of this method is the formation of ion pairs in the high ionic strength saturated paste extracts, which effectively decreases the measured ECe, leading to the... X. Amakor, A.R. Jacobson, G.E. Cardon, A. Hawks, W. Barnes

7. Isobus Demonstrator And Working Environment For Agricultural Engineering Education

ISOBUS is the international standard for communication on agricultural equipment. In practice, however, a manufacturer independent tractor-implement communication is still a significant problem. This aspect has been identified as a major hindrance for the transfer of research results into products for precision farming.  As a consequence the ISOBUS standard should strongly be included in education and research, which is the focus of this work.   In... A. Ruckelshausen, T. Dzinaj, T. Kinder, D. Bosse, R. Klose

8. Cotton Precision Farming Adoption In The Southern United States: Findings From A 2009 Survey

The objectives of this study were 1) to determine the status of precision farming technology adoption by cotton producers in 12 states and 2) to evaluate changes in cotton precision farming technology adoption between 2000 and 2008. A mail survey of cotton producers located in Alabama, Arkansas, Florida, Georgia, Louisiana, Mississippi, Missouri, North Carolina, South Carolina, Tennessee, Texas and Virginia was conducted in February and March of 2009 to establish the use of precision farming technologies... M. Velandia, D.F. Mooney, R.K. Roberts, B.C. English, J.A. Larson, D.M. Lambert, S.L. Larkin, M.C. Marra, R. Rejesus, S.W. Martin, K.W. Paxton, A. Mishra, C. Wang, E. Segarra, J.M. Reeves

9. 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

10. Factors Influencing the Timing of Precision Agriculture Technology Adoption in Southern U.S. Cotton Production

Technology innovators in cotton production adopted precision agriculture (PA) technologies soon after they became commercially available, while others adopted these technologies in later years after evaluating the success of the innovators. The timing of... D.M. Lambert, J.A. Larson, B.C. English, R.M. Rejesus, M.C. Marra, A.K. Mishra, C. Wang, P. Watcharaanantapong, R.K. Roberts, M. Velandia

11. 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

12. Bayesian Methods for Predicting LAI and Soil Moisture

Crop models describe the growth and development of a crop interacting with soil, climate, and management... M. Majdi, D. Benjamin, D. Marie-france

13. Using Multiplex® to Manage Nitrogen Variability in Champagne Vineyard

... L. Marine, M. Manon, G. Claire, P. Laurent, F. Mostafa, C. Zoran, B. Naima, D. Sébastien, G. Olivier

14. Spatial Variability Index Based On Soil Properties for Notill and Pasture Site-Specific Management in Brazil.

 Quantitative characterization of soil properties spatial variation has first been applied... R.P. De oliveira, A.C. Bernardi, V.D. Benites, L.M. Rabello, R.Y. Inamassu

15. 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

16. Evaluating Water Status in Potato Fields Using Combined Information from RGB and Thermal Aerial Images

Potato yield and quality are highly dependent on an adequate supply of water. In this study the combined information from RGB and thermal aerial images to evaluate... Y. Cohen, V. Alchanatis, B. Heuer, H. Lemcoff, M. Sprintsin, C. Rosen, D. Mulla, T. Nigon, Z. Dar, A. Cohen, A. Levi, R. Brikman, T. Markovits, R. Rud

17. Remote Sensing of Nitrogen and Water Status on Boston Lettuce Transplants in a Greenhouse Environment

Remote sensing is the stand-off collection through the use of a variety of devices for gathering information on a given object or area. Applied as a warning tool in plant stock production, it is expected to help in the achievement of better, more uniform and more productive organic cropping systems. Remote sensing of vegetation targets can be achieved from the... N. Tremblay, P. Vigneault, M.Y. Bouroubi, M. Dorais, G.P. Gianquinto, M. Tempesta

18. 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 spray... S. Heijting, C. Kempenaar

19. 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 most... B. Kleinhenz, M. Röhrig, M. Scheiber, J. Feldhaus, B. Hartmann, B. Golla, C. Federle , D. Martini

20. Sustainable Grain Production With Continuous Improvements And Lean Production

Few farmers are dedicated to critically examine their production processes. When something needs to be improved, the focus is on production with a concentration on the biological. But the profitability of a company is created by the production (what I do) and organization (how I do it). Agricultural advisory services are well developed in Sweden with services related to biological production (crop production planning, soil mapping, etc.) but there are no corresponding activities... B. Sundström, H. Åström, A. Rydberg, J. Olsson

21. 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 others... P. Leithold, T. Volk, K. Dammer

22. Comparison Of Management Zones Generated By The K-Means And Fuzzy C-Means Methods

The generation of Management Zones (MZ) is an economic alternative to make viable the precision agriculture (RODRIGUES & ZIMBACK, 2002) because they work as operation units for the inputs localized application and as soil and culture sample indicators. For the field division in... E. Souza, K. Schenatto, F. Rodrigues, D. Rocha, C. Bazzi

23. Capturing, Demonstrating And Delivering Value From Integrating Real-Time On-Farm Sensing With External Information Flows

The requirement for significant productivity gains in the agricultural sector is undeniable. Sustainable, viable industries must be capable of consistently producing a margin above the base costs of production. This is particularly challenging for the extensive grazing enterprises in Australia as the operating environment has become increasingly complex, dynamic and challenging and there is a continual and increasing need to demonstrate improved efficiency to the wider community... G. Bishop-hurley, L. Overs, S. Brosnan, A. Krumpholz, D. Henry

24. Site Specific Costs Concerning Machine Path Orientation

Computer algorithms have been created to simulate in advance the orientation/pattern of a machine operation on a field. Undesired impacts were obtained and quantified for these simulations, like: maneuvering and overlap of inputs in headlands; servicing of secondary units; and soil loss by water erosion. While the efforts could minimize the overall costs, they disregard the fact that these costs aren’t uniformly distributed over irregular fields. The cost of a non-productive machine process... M. Spekken, J.P. Molin, T.L. Romanelli, M.N. Ferraz

25. NIR Spectroscopy to Map Quality Parameters of Sugarcane

Precision Agriculture aims to explore the potential of each crop considering the differences within the field. One information that is considered the most important is the yield or the obtained income in the field. However, in the case of sugarcane, quality will also directly influence farmer’s income. Several studies suggest harvester automation aiming to monitor yield, but few consider the quality analysis in the process. Among the existing methods for measuring sugar content the one that... M.N. Ferraz, J.P. Molin

26. Modifying the University of Missouri Corn Canopy Sensor Algorithm Using Soil and Weather Information

Corn production across the U.S. Corn belt can be often limited by the loss of nitrogen (N) due to leaching, volatilization and denitrification. The use of canopy sensors for making in-season N fertilizer applications has been proven effective in matching plant N requirements with periods of rapid N uptake (V7-V11), reducing the amount of N lost to these processes. However, N recommendation algorithms used in conjunction with canopy sensor measurements have not proven accurate in making N recommendations... G. Bean, N.R. Kitchen, D.W. Franzen, R.J. Miles, C. Ransom, P. Scharf, J. Camberato, P. Carter, R.B. Ferguson, F. Fernandez, C. Laboski, E. Nafziger, J. Sawyer, J. Shanahan

27. Delineation of Site-specific Management Zones Using Spatial Principal Components and Cluster Analysis

The delineation of site-specific management zones (MZs) can enable economic use of precision agriculture for more producers. In this process, many variables, including chemical and physical (besides yield data) variables, can be used. After selecting variables, a cluster algorithm like fuzzy c-means is usually applied to define the classes. Selection of variables comprise a difficult issue in cluster analysis because these will often influence cluster determination. The goal of this study was... A. Gavioli, E.G. Souza, C.L. Bazzi, N.M. Betzek, K. Schenatto, H. Beneduzzi

28. Data Normalization Methods for Definition of Management Zones

The use of management zones is considered a viable economic alternative for the management of crops due to low cost of adoption as well as economic and environmental benefits. The decision whether or not to normalize the attributes before the grouping process (independent of use) is a problem of methodology, because the attributes have different metric size units, and may influence the result of the clustering process. Thus, the aim of this study was to use a Fuzzy C-Means algorithm to evaluate... K. Schenatto, E.G. De souza, C.L. Bazzi, A. Gavioli, N.M. Betzek, H.M. Beneduzzi

29. Development of Land Leveling Equipment Based on GNSS

An attitude adjustable land leveling equipment was designed. The reference elevation of the land to be leveled was generated based on the topographic data which was acquired by the RTK-GNSS technology. The blade lifting mechanism was controlled by comparing the reference elevation and the real-time blade’s elevation and attitude data which was obtained by the dual antenna GNSS receiver and as a result the land leveling operation was implemented. A new algorithm using the electro-hydraulic... W. Fu, G. Wu, H. Bao, X. Wei, Z. Meng

30. SMARTfarm Learning Hub: Next Generation Precision Agriculture Technologies for Agricultural Education

The industry demands on higher education agricultural students are rapidly changing. New precision agriculture technologies are revolutionizing the farming industry but the education sector is failing to keep pace. This paper reports on the development of a key resource, the SMARTfarm Learning Hub (www.smartfarmhub.com) that will increase the skill base of higher education students using a range of new agricultural technologies and innovations. The Hub is a world first; it links real industry... M. Trotter, S. Gregory, T. Trotter, T. Acuna, D. Swain, W. Fasso, J. Roberts, A. Zikan, A. Cosby

31. Large-scale UAS Data Collection, Processing and Management for Field Crop Management

North Dakota State University research and Extension personnel are collaborating with Elbit Systems of America to compare the usefulness and economics of imagery collected from a large unmanned aircraft systems (UAS), small UAS and satellite imagery. Project personnel are using a large UAS powered with an internal combustion engine to collect high-resolution imagery over 100,000 acres twice each month during the crop growing season. Four-band multispectral Imagery is also being collected twice... J. Nowatzki, S. Bajwa, D. Roberts, M. Ossowski, A. Scheve, A. Johnson, Y. Chaplin

32. Field-scale Nitrogen Recommendation Tools for Improving a Canopy Reflectance Sensor Algorithm

Nitrogen (N) rate recommendation tools are utilized to help producers maximize grain yield production. Many of these tools provide recommendations at field scales but often fail when corn N requirements are variable across the field. This may result in excess N being lost to the environment or producers receiving decreased economic returns on yield. Canopy reflectance sensors are capable of capturing within-field variability, although the sensor algorithm recommendations may not always be as accurate... C.J. Ransom, M. Bean, N. Kitchen, J. Camberato, P. Carter, R. Ferguson, F. Fernandez, D. Franzen, C. Laboski, E. Nafziger, J. Sawyer, J. Shanahan

33. Apparent Electrical Conductivity Sensors and Their Relationship with Soil Properties in Sugarcane Fields

One important tool within the technological precision agriculture (PA) package are the apparent electrical conductivity (ECa) sensors. This kind of sensor shows the ability in mapping soil physicochemical variability quickly, with high resolution and at low cost. However, the adoption of this technology in Brazil is not usual, particularly on sugarcane fields. A major issue for farmers is the applicability of ECa, how to convert ECa data in knowledge that may assist the producer in decision-making... G.M. Sanches, L.R. Amaral, T. Pitrat, T. Brasco, P.S. Magalhaes, D.G. Duft, H.C. Franco

34. Principal Component Analysis of Rice Production Environment in the Rice Terrace Region

Environmental conditions that affect rice production, such as air temper- ature, relative humidity, solar radiation, effective cation exchangeable capacity (ECEC) of the soil, and total nitrogen in irrigation water, were assessed for 4 paddy fields in Hoshino village, Fukuoka prefecture in Japan. Also, environ- mental factors that affected rice quality (physicochemical properties of rice grains and cooked rice) were identified using data during the beginning of a ripening period (20 days after... Y. Hirai, Y. Beppu, Y. Mori, K. Tomita, K. Hamagami, K. Mori, S. Uchida, S. Inaba

35. Technological Improvement on Sugar Cane Yield Monitor

This paper presents the technological improvement on sugar cane yield monitor. The system designed employs load cells as an instrument for weighing billets, set up on the side conveyor of the harvester before the sugar cane billets are dropped into a field transport wagon. This data, along with the information gathered by GPS installed on the harvester, enabled the elaboration of a digital yield map using GIS. In order to improve the yield monitor a re-design of the first prototype was accomplished.... D.G. Cerri, G.R. Gray, P.S. Magalhães

36. Realising the Full Potential of Precision Agriculture: Encouraging Farmer 'Buy-in' by Building Trust in Data Sharing

Uncertainty around the ownership, privacy and security of farm data are most commonly the reasons cited for farmer’s reluctance to “buy-in” to big data in agriculture. Evidence provided to the recent US Committee on Commerce, Science, and Transportation Subcommittee on Consumer Protections, Product Safety, Insurance, and Data Security, United States Senate Technology in Agriculture: Data Driven Farming (Nov 2017) highlighted that “data ownership, and related... L. Wiseman, J. Sanderson

37. An Automatic Control Method Research for 9YG-1.2 Large Round Baler

When manual or semi-automatic round baler working, the tractor driver have to frequently manual the machine according to the bale process at the same time of driving. The driver easily feel fatigue in this operating mode for a long time, so the consistency of the bale’s density can not be guaranteed. And there may be wrong operation. In this article, we use the model 9YG-1.2 large round baler as a research prototype. We study the information collection and processing of the baler’s... J. Dong, Z. Meng, Y. Cong, A. Zhang, W. Fu, R. Pan, Q. Yang, Y. Shang

38. A Pilot Study on Monitoring Drinking Behavior in Bucket Fed Dairy Calves Using an Ear-Attached Tri-Axial Accelerometer

Accelerometers support the farmer with collecting information about animal behavior and thus allow a reduction in visual observation time. The milk intake of calves fed by teat-buckets has not been monitored automatically on commercial farms so far, although it is crucial for the calves’ development. This pilot study was based on bucket-fed dairy calves and intended (1) to evaluate the technical feasibility of using an ear-attached accelerometer (SMARTBOW, Smartbow GmbH, Weibern, Austria)... L. Roland, L. Lidauer, G. Sattlecker, F. Kickinger, W. Auer, V. Sturm, D. Efrosinin, M. Drillich, M. Iwersen, A. Berger

39. Optimum Spatial Resolution for Precision Weed Management

The occurrence and number of herbicide-resistant weeds in the world has increased in recent years. Controlling these weeds becomes more difficult and raises production costs. Precision spraying technologies have been developed to overcome this challenge. However, these systems still have relatively high acquisition cost, requiring studies of the relation between the spatial distribution of weeds and the economically optimum spatial resolution of the control method. In this context, the objective... R.G. Trevisan, M.T. Eitelwein, M.N. Ferraz, T.R. Tavares, J.P. Molin, D.C. Neves

40. Development of Farmland-Terrain Simulation System for Consistency of Seeding Depth

A farmland-terrain simulation system suitable for rugged topography was designed to study the irregularities of farmland surface morphology led by both topographic fluctuation and terrain tilt. The system consists of terrain simulation mechanism, hydraulic system, control system, etc. The terrain simulation mechanism is connected to the rack through hydraulic cylinder to simulate farmland surface fluctuation. The hydraulic system controls the hydraulic cylinder to drive the terrain simulation... W. Fu, J. Dong, Y. Cong, N. Gao, Y. Li, Z. Meng

41. Akkerweb: A Platform for Precision Farming Data, Science, and Practice

The concept of precision farming (PF) was formulated about 40 years ago and the scientific knowledge for some applications of PF in The Netherlands has been available for almost 20 years. Also, in many cases equipment is available to implement PF in practice. In spite of all this PF uptake is still limited. An important reason for the limited uptake of PF is in the challenges that must be overcome to let data flow from sensors to data storage, to combine data sources and process them into recommendations,... F.K. Van evert, T. Been, J.A. Booij, C. Kempenaar, G.J. Kessel, L.P. Molendijk

42. Utilizing Weather, Soil, and Plant Condition for Predicting Corn Yield and Nitrogen Fertilizer Response

Improving corn (Zea mays L.) nitrogen (N) fertilizer rate recommendation tools should increase farmer’s profits and help mitigate N pollution. Weather and soil properties have repeatedly been shown to influence crop N need. The objective of this research was to improve publicly-available N recommendation tools by adjusting them with additional soil and weather information. Four N recommendation tools were evaluated across 49 N response trials conducted in eight U.S. states over three growing... N.R. Kitchen, M.A. Yost, C.J. Ransom, G. Bean, J. Camberato, P. Carter, R. Ferguson, F. Fernandez, D. Franzen, C. Laboski, E. Nafziger, J. Sawyer

43. Using Geospatial Data to Assess How Climate Change May Affect Land Suitability for Agriculture Production

Finding solutions to the challenge of sustainably feeding the world’s growing population is a pressing research need that cuts across many disciplines including using geospatial data. One possible area could be developing agricultural frontiers. Frontiers are defined as land that is currently not cultivated but that may become suitable for agriculture under climate change. Climate change may drive large-scale geographic shifts in agriculture, including expansion in cultivation at the thermal... K. Kc, L. Hannah, P. Roehrdanz, C. Donatti, E. Fraser, A. Berg, L. Saenz, T.M. Wright, R.J. Hijmans, M. Mulligan

44. Soybean Plant Phenotyping Using Low-Cost Sensors

Plant phenotyping techniques are important to present the performance of a crop and it interaction with the environment. The phenotype information is important for plant breeders to analyze and understand the plant responses from the ambient conditions and the inputs offered for it. However, for conclusive analysis it is necessary a large number of individuals. Thus, phenotyping is the bottleneck of plant breeding, a consequence of the labor intensive and costly nature of the classical phenotyping.... M.N. Ferraz, R.G. Trevisan, M.T. Eitelwein, J. Molin, F.H. Karp

45. Can Unreplicated Strip Trials Be Used in Precision On-Farm Experiments?

On-farm experiments are used to evaluate a wide variety of products ranging from pesticide and fertilizer rates to the installation of tile drainage. The experimental design for these experiments is usually replicated strip trials.  Replication of strip trials is used to estimate experimental error, which is the basis for judging statistical significance of treatment effects. Another consideration for using strip trials is greater within-field variability than smaller fields used... G. Hatfield, G. Reicks, E. Carter

46. Comparison of the Performance of Two Vis-NIR Spectrometers in the Prediction of Various Soil Properties

Spectroscopy has shown capabilities of predicting certain soil properties. Hence, it is a promising avenue to complement traditional wet chemistry analysis that is costly and time-consuming. This study focuses on the comparison of two Vis-NIR instruments of different resolution to assess the effect of the resolution on the ability of an instrument to predict various soil properties. In this study, 798 air dried and compressed soil samples representing different agro-climatic conditions across... M. Marmette, V. Adamchuk, J. Nault, S. Tabatabai, R. Cocciardi

47. Crop Price Variation and Water Saving Technologies in Alborz Province of Iran

Considering the importance and scarcity of water resources, the efficient management of water resources is of great imp,ortance. Adoption of modern irrigation technology is considered to be a key of increasing the efficiency of water used in agriculture. Policy makers have implemented several ways to induce the adoption of new irrigation technology. The empirical studies show that farmers are reluctant to utilize the use of new irrigation methods. This study aims to assess factors affecting on... S. Yazdani, S. Nikravesh, S. Bagheri

48. Correlating Plant Nitrogen Status in Cotton with UAV Based Multispectral Imagery

Cotton is an indeterminate crop; therefore, fertility management has a major impact on the growth pattern and subsequent yield. Remote sensing has become a promising method of assessing in-season cotton N status in recent years with the adoption of reliable low-cost unmanned aerial vehicles (UAVs), high-resolution sensors and availability of advanced image processing software into the precision agriculture field. This study was conducted on a UGA Tifton campus farm located in Tifton, GA. The main... W. Porter, D. Daughtry, G. Harris, R. Noland, J. Snider, S. Virk

49. Ecological Refugia As a Precision Conservation Practice in Agricultural Systems

Current global agriculture fails to meet the basic food needs of 687.7 million people. At the same time, our food system is responsible for catastrophic losses of biodiversity. Precision conservation solutions offer the potential to benefit both production systems and natural systems. Transforming low-producing areas on farm fields into ecological refugia may provide small-scale habitat and ecosystem services in fragmented agricultural landscapes. We collaborated with three precision agriculture... H. Duff, B. Maxwell

50. How Digital is Agriculture in South America? Adoption and Limitations

A rapidly growing population in a context of land and water scarcity, and climate change has driven an increase in healthy, nutritious, and affordable food demand while maintaining the current cropping area. Digital agriculture (DA) can contribute solutions to meet the demands in an efficient and sustainable way. South America (SA) is one of the main grain and protein producers in the world but the status of DA in the region is unknown. This article presents the results from a systematic review... G. Balboa, L. Puntel, R. Melchiori, R. Ortega, G. Tiscornia, E. Bolfe, A. Roel, F. Scaramuzza, S. Best, A. Berger, D. Hansel, D. Palacios

51. Evaluation of Indwelling Rumen Temperature Monitoring System for Dairy Calf Illness Detection and Management

Precision Dairy Farming technology has mostly focused on tools to improve cow care, but new tools are available to improve the care of pre-wean calves and heifers. These technologies apply real-time monitoring to measure individual animal data and detect a deviation from normal. On-farm validation of new technologies remains important for successful deployment of new technologies within commercial farms to understand how the technology can improve dairy calf welfare, performance, and health. The... J.M. Hartschuh, J.P. Fulton, S.A. Shearer, B.D. Enger, G.M. Schuenemann

52. MDPI - Agriculture and Agronomy Journals

... N. Nišavić