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Precision Horticulture
On Farm Experimentation with Site-Specific Technologies
Engineering Technologies and Advances
Drainage Optimization and Variable Rate Irrigation
eXtension: Precision Agriculture on the Internet
Precision Horticulture
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Authors
Abban-Baidoo, E
Adedeji, O
Admasu, W.A
Alwaseela, H
Andales, A
Badua, S
Baio, F
Baio, F
Barros, M.F
Bazzi, C.L
Bekkerman, A
Belasque Junior, J
Betzek, N.M
Brase, T
Brown, A.J
Carter, E
Cerri, D.G
Chen, L
Chen, L
Ciampitti, I
Clarke, A
Clarke, S
Coen, T
Cointault, F
Colaço, A.F
Colley III, R
Congona Benavente, J
Cook, S
Cranfield, G
Csatári, N
Cugnasca, C.E
Davis, P
De Baerdemaeker, J
Dubois, J
Edge, B
Ekanayake, D.C
Esau, T.J
Escolà, A
Evans, F
Fritz, B.K
Fulton, J.P
Fulton, J.P
Fulton, J.P
Fusamura, R
Garcia-Torres, L
Gavioli, A
Ghimire, B
Gibberd, M
Gong, A
Gómez-Candón, D
Griffin, T.W
Guo, J
Guo, J
Guo, W
Hansen, N
Happich, G
Harms, H
Harsányi, E
Hatfield, G
Hatley, D
Hawkins, E
Hays, A
Hegedus, P.B
Henrie, A
Herppich, W.B
Hijazi, B
Hill, C
Hoffmann, W.C
Holmes, A
Hopkins, B
Huang, Y
Ingram, B
Izurieta, C
Johnson, R.M
Jones, A
Joshi, R
Jurado-Expósito, M
KOJIMA, Y
Kaho, T
Karn, R
Kerry, R
Khosla, R
Kindred, D
Klopfenstein, A
Kodaira, M
Kovács, A.J
Kulmány, I
Käthner, J
Käthner, J
Lacoste, M
Lambur, M
Lan, Y
Lang, T
Lins, E.C
López-Granados, F
Luck, J.D
Luck, J.D
Luck, J.D
Magalh, P.S
Magalhães, P.S
Mandal, D
Marcassa, L.G
Marchant, B
Martinez, M.M
Maxwell, B
Maxwell, B.D
McDonald, T.P
McDonald, T.P
McGraw, T
Meeks, C
Milics, G
Molin, J.P
Morris, E
Morris, T
Mullenix, D
Mullenix, D
Nagy, J
Neményi, M
Nowatzki, J
Nyéki, A
Oberthur, T
Ohaba, M
Ortega, R.A
Ortiz, B.V
Owens, J
Paindavoine, M
Parbi, B
Payn, R
Peerlinck, A
Peña-Barragán, J.M
Percival, D.C
Phillips, L
Poblete, H.P
Port, K
Price, R
Ragán, P
Read, S.M
Regen, C
Reicks, G
Ridout, M
Roques, S
Rosell-Polo, J.R
Rátonyi, T
SANAEI, A
SONODA, M
Saeys, W
Sanders, K
Sanz-Saez, A
Schenatto, K
Schumann, A.W
Selbeck, J
Sharda, A
Sharda, A
Sharda, A
Shearer, S
Shearer, S.A
Shearer, S.A
Shearer, S.A
Sheppard, J
Sheppard, J
Shibusawa, S
Shibusawa, S
Shibusawa, S
Silverman, N
Souza, E.G
Stevens, G
Stombaugh, T
Strasser, R
Sulyok, D
Sunley, S
Swenson, A
Sylvester-Bradley, R
Thomson, S.J
Tremblay, N
Trevisan, R.G
Unruh, R
Vanacht, M
Vangeyte, J
Velasco, J.S
Viator, R.P
Vories, E
Vántus, A
Wang, Y
Warren, J.G
Warren, J.G
Werner, A
Wieber, E
Xu, G
Zaman, Q
Zandonadi, R.S
Zhang, R
Zhang, R
Zsebő, S
Zude-Sasse, M
Zude-Sasse, M
Topics
Engineering Technologies and Advances
Drainage Optimization and Variable Rate Irrigation
On Farm Experimentation with Site-Specific Technologies
Precision Horticulture
eXtension: Precision Agriculture on the Internet
Precision Horticulture
Type
Poster
Oral
Year
2010
2024
2018
2008
2016
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Topics

Filter results50 paper(s) found.

1. Performance Evaluation Of A Prototype Variable Rate Sprayer For Spot- Application Of Agrochemicals In Wild Blueberry Fields

  Wild blueberry yields are highly dependent on agrochemicals for adequate weed control. The excessive use of agrochemicals with uniform application in significant bare spots and plant areas has resulted in increased cost of production. A cost-effective automated prototype variable rate (VR) sprayer was developed for spot-application (SA) of agrochemicals in a specific section of the sprayer boom where the weeds have been detected. The weed patches were mapped with an RTK-... Q. Zaman, A.W. Schumann, D.C. Percival, T.J. Esau, S.M. Read

2. Development Of Unmanned Aerial Vehicles For Site-specific Crop Production Management

... Y. Huang, W.C. Hoffmann, Y. Lan, S.J. Thomson, B.K. Fritz

3. Optical Based Sugarcane Yield Monitors

Several different optical sensors were investigated to detect sugarcane yield on a billet type sugarcane harvester. These sensors included an over-head optical sensor and a below-the-conveyor sensor. Both sensors indicated mass flow rate from a volume measurement of the cane on the conveyor slats. Both systems gave good results with linear line calibration equations and adjusted R-square values from 0.96 to 0.97. Weight wagon weights in the 0.6 to 1.6 metric ton range were estimated to 7.5% o... R. Price, R.M. Johnson, R.P. Viator

4. On-the-go Condition Mapping For Harvesting Machinery

In recent years control systems have been used to alleviate the task of harvesting machinery operators. Automation allows the operator to spend more time on other tasks such as coordinating transport. Moreover, such control systems guarantee constant performance throughout the day whereas an operator gets tired. The perfect control system anticipates on the harvest condition, just like an experienced operator would. The operator makes a visual assessment of the condition in terms of... T. Coen, J. De baerdemaeker, W. Saeys

5. Study On Application Of Wireless Sensor Networks For Precision Agriculture

  Abstract: The use of sensor network to achieve soil moisture real-time detection can provide the decision-making basis for precision agriculture. In this... G. Xu, L. Chen, R. Zhang, J. Guo, Y. Wang

6. Spatial Modelling Of Agricultural Crops For Parallel Loading Operations

There is a trend in agricultural engineering towards high-performance harvesting machines with growing operating width and throughput. As much as performance and throughput are rising, the transportation units are characterized by increasing transportation volume. If harvesting and transport are combined in parallel operation (e.g. self-propelled forage harvester), the driver of the harvesting machine and the driver of the transport unit has to pay highest attention to the loading p... G. Happich, T. Lang, H. Harms

7. New Power-leds Based Illumination System For Fertilizer Granule Motion Estimation

Environmental problems have become more and more pressing in the past twenty years particularly with the fertilization operation, one main contributor to environmental imbalance. The understanding of the global centrifugal spreading process, most commonly used in Europe, can contribute to provide essential information about fertiliser granule deposition on the soil. This last one can be predicted using a ballistic flight model and several fertilizer characteristic’s determinat... F. Cointault, B. Hijazi, J. Dubois, J. Vangeyte, M. Paindavoine

8. Prediction Of Soil Moisture Content And Penetration Resistance Using Real-time Soil Meter

A real-time soil compaction meter that refers to the air injection subsoiler, is developed.  The final goal is to predict standarized soil compaction that is converted from soil moisture content, working resistance and working speed.  This experiment confirmed performance of predicting the soil moisture content and of measuring the working resistance was conducted.  The equipments of the meter are a working resistance measurement device received from the soil and a spectroscope... T. Kaho, M. Kodaira, S. Shibusawa

9. Precision Agricultural Branding Using Near-infrared Spectroscopy System

... Y. Kojima, S. Shibusawa, R. Fusamura, M. Sonoda

10. Developing Of A Monitoring System Of Cutting, Carrying, And Transportation Of Sugar Cane In Order To Manage Fleet

In the productive process for obtaining sugar cane products, the costs associated to the activities of harvesting (cut), carrying and transport (CCT), represent great part of the final cost of the product. In order to reduce this costs new technologies should be adopted in the agricultural mechanization using precision agriculture methods. The use of the information technology combined with the use of intelligent components can help to improve the performance of machines and equipments ... D.G. Cerri, P.S. Magalh

11. 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 achiev... F. Baio

12. 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 ... F. Baio, ,

13. An Inter-connection Model Between Standard Zigbee And Isobus Network (ISO11783)

The typical five-step cyclical process of precision agriculture includes soil and environment data collection, diagnosis, data analysis, precision field correction operation and evaluations. Usually, some steps are executed in field, others in the farm office and others in both. This can result in a complex system and consequently in waste of time and high cost in equipment, tools and workmanship. To simplify this process, the challenge is ... M.F. Barros, C.E. Cugnasca, J. Congona benavente

14. Tools For Evaluating The Potential Of Automatic Section Control

One of the newest technologies in precision agriculture is automatic section control on application equipment. This technology has tremendous potential to reduce wasted inputs, especially on irregularly shaped fields. Paybacks are not necessarily as great on rectangular fields. Producers considering adoption of the technology need to decide whether they will receive sufficient payback for their field shapes. They must also d... T. Stombaugh, R.S. Zandonadi, J.D. Luck, T.P. Mcdonald, T. Mcgraw

15. Rhizosphere Moisture Modulation By Water Head Precision Control

Abstract: A digital irrigation microcomputer system, designed to modulate rhizosphere moisture using ... M. Ohaba, S. Shibusawa

16. Application Rate Stability When Implementing Automatic Section Control Technology On Agricultural Sprayers

Automatic section control (on and off) technology of sprayer boom sections is an intelligent solution to maximize spray application efficiency during field operations. This technology can reduce over-application of products. Spray controllers available with this technology attempt to maintain the set target rate by adjusting system flow rate based on ground speed and application width.  Therefore, as sections are turned on or off, the flow regulating hardware must respond to m... A. Sharda, J.D. Luck, J.P. Fulton, S.A. Shearer, S.A. Shearer, D. Mullenix, M. Vanacht

17. Energy-efficient Wireless Sensor Network System For Soil Moisture Information Collecting

Collecting field soil moisture information is the foundation of auto-irrigation. This paper introduced a soil moisture information collecting system based on wireless sensor network (WSN) technology and with application background of automatic drip irrigation for cotton field. Firstly, application background was analyzed and application requirement was defined. The system worked together with a drip irrigation system in cotton field. After study, it was found that the output of soil moisture ... R. Zhang, L. Chen, J. Guo, J.G. Warren, J.G. Warren

18. Extension: Precision Ariculture On The Internet

This session will include an overall description of the new eXtension precision agriculture Web site. eXtension is an interactive learning environment delivering the best, most researched knowledge from land-grant university  across America. Session participants will learn about the Website, and how to participate in the continued site development. The precision agriculture eXtension Web site is a virtual platform for engage... J. Nowatzki, T. Brase

19. Not Possible In Real Life: Precision Agriculture’s Future In 3D Virtual Worlds

Immersive 3D virtual worlds may be several years away from mainstream adoption, but thousands of scientists, educators, and visionary thinkers are already using these environments to network with colleagues, conduct research, create engaging simulations, and develop instructional models that can reach global audiences. Virtual reality offers the potential to create dynamic content that is either not possible to build in real life, or prohibitively expensive. Travel costs can be reduced by bri... L. Phillips

20. Design And Construction Of A Computer Aided Control And Monitoring System For Greenhouses

ABSTRACT High expenditure is one the major disadvantages of using human or labor work force in agriculture division. Lack of accurate and precise processing, low working speed and the effect of physical tiredness on their efficiency are same other disadvantages. Using modern technology and replacing human work force with the automated mechanisms and instruments or intelligent machinery leads to the reduction of these expenses, enhancement of precision, accuracy and work speed ... A. Sanaei

21. The Scholarship Of eXtension

  eXtension (www.extension.org) is an interactive on-line learning environment delivering "best of the best," researched-based knowledge from the top minds across the land-grant university system.  It is a space where university content providers can collaborate to gather and produce new educational and information resources on wide-ranging topics while continually interacting with their customers to help solve real-life problems in real time.  The works of ... M. Lambur

22. We Want You: Contributing Your Expertise To A Community Of Practice (COP)

  eXtension Communities of Practice (CoP’s) are online collaborative networks of subject matter experts.  Community of Practice as a method are not new, almost everyone has come across one by now, but you may not have realized what you were looking at was a collaborative effort.  CoP’s exist on sites like Consumer Reports, in CNET, and many other places where groups of experts work to create the content that populates a website.  Communities are self-... A. Hays

23. Tip Flow Uniformity When Using Different Automatic Section Control Technologies During Field Operations

Automatic section control (ASC) technology provides a means to reduce double-coverage and application in unwanted areas thereby leading to input savings and improved environmental stewardship.  However, the impact of ASC on spray boom dynamics and tip flow uniformity are unknown. Therefore, a study was conducted to evaluate tip flow rate uniformity and control system response in maintaining target application rates during field operation. Field experiments were conducted using two self-p... A. Sharda, J.D. Luck, J.P. Fulton, S.A. Shearer, T.P. Mcdonald, D. Mullenix

24. Attaching Multiple Conductivity Meters To An Atv To Speed Up Precision Agriculture Soil Surveys

Ground conductivity meters are used in a number of precision agriculture applications, including the estimation of water content, nutrient levels, salinity and depth of topsoil. Typically the Geonics EM38 conductivity meter, and to a lesser extent the EM31, are used for soil surveys. Most conductivity surveys involve towing a ground conductivity meter behind an all-terrain vehicle (ATV). In some situations, such as rutted or sloping fields, it is preferable to mount the conductivity meter dir... E. Morris, A. Clarke, S. Sunley, C. Hill, G. Cranfield

25. Robustness of Pigment Analysis in Tree Fruit

The non-destructive application of spectrophotometry for analyzing fruit pigments has become a promising tool in precise fruit production. Particularly, the pigment contents are interesting to the growers as they provide information on the harvest maturity and fruit quality for marketing. The absorption of chlorophyll at its Q band provides quantitative information on the chlorophyll pool of fruit. As a challenge appears the in-situ measurement at varying developmental stage of the fruit due ... M. Zude-sasse, C. Regen, J. Käthner

26. Comparison of Plant and Soil Mapping in Prunus Domestica L. Orchard

In the present study, the soil apparent electrical conductivity, ECa, and the plant water status were analyzed in plum production (Prunus domestica L 'Tophit plus'/Wavit) targeting (i) the spatial characterization of soil ECa and fruit yield, (ii) instantaneous water status, and (iii) cumulative pattern of water status and yield. The plum orchard is located in semi-humid, temperate climate (Potsdam, Germany), capturing 0.37 ha with 156 trees. Measurements were carried out on... M. Zude-sasse, J. Käthner, W.B. Herppich, J. Selbeck

27. Spatial Variability of Canopy Volume in a Commercial Citrus Grove

LiDAR (light detection and ranging) sensors have shown good potential to estimate canopy volume and guide variable rate applications in different fruit crops. Oranges are a major crop in Brazil; however the spatial variability of geometrical parameters remains still unknown in large commercial groves, as well as the potential benefit of sensor guided variable rate applications. Thus, the objective of this work was to characterize the spatial variability of the canopy volume in a commercial or... A.F. Colaço, J.P. Molin, R.G. Trevisan, J.R. Rosell-polo, A. Escolà

28. Use of the Active Sensor Optrx to Measure Canopy Changes to Evaluate Foliar Treatments and to Identify Soil Quality in Table Grape

Table Grape (Vitis vinifera L.) is the main exporting horticultural crop in Chile, with the country being one of the top exporters at the world level. Commonly, grape producers perform trials of different commercial products which are not evaluated in an objective way. On the other hand they do not have the tools to easily identify areas within the field that may have some limiting factor. The use of active ground sensors that pass under the canopy several times during the season ma... R.A. Ortega, M.M. Martinez, H.P. Poblete

29. A Software for Managing Remotely Sensed Imagery of Orchards Plantations for Precision Agriculture

Agronomic and environmental characteristics of fruit orchards/ forests can be automatically assessed from remote-sensing images by a computer programme named Clustering Assessment (CLUAS®). The aim of this paper is to describe the operational procedure of CLUAS and illustrate examples of the information provided for citrus orchards and Mediterranean forest. CLUAS® works as an additional menu (“add-on”) of ENVI®, a world-wide known image-processing programme, and operat... L. Garcia-torres, J.M. Peña-barragán, D. Gómez-candón, F. López-granados, M. Jurado-expósito

30. Detection of Citrus Canker in Orange Plantation Using Fluorescence Spectroscopy

Citrus canker is a serious disease, caused by Xanthomonas axonopodis pv. Citri bacteria, which infects orange trees (Citrus aurantium L.), leading to a large economic loss in the orange juice production. Brazil produces 50% of the industrialized orange juice in the world. Therefore, the early detection and control of such disease is important for Brazilian economy. However this task is very hard and so far it has been done by naked eye inspection of each tree. Our goal is to... E.C. Lins, J. Belasque junior, L.G. Marcassa

31. Use of Farmer’s Experience for Management Zones Delineation

In the management of spatial variability of the fields, the management zone approach (MZs) divides the area into sub-regions of minimal soil and plant variability, which have maximum homogeneity of topography and soil conditions, so that these MZs must lead to the same potential yield. Farmers have experience of which areas of a field have high and low yields, and the use of this knowledge base can allow the identification of MZs in a field based on production history. The objective of this s... K. Schenatto, E.G. Souza, C.L. Bazzi, A. Gavioli, N.M. Betzek, P.S. Magalhães

32. Supporting and Analysing On-Farm Nitrogen Tramline Trials So Farmers, Industry, Agronomists and Scientists Can LearN Together

Nitrogen fertilizer decisions are considered important for the agronomic, economic and environmental performance of cereal crop production. Despite good recommendation systems large unpredicted variation exists in measured N requirements. There may be fields and farms that are consistently receiving too much or too little N fertilizer, therefore losing substantial profit from wasted fertilizer or lost yield. Precision farming technologies can enable farmers (& researchers) to test appropr... D. Kindred, R. Sylvester-bradley, S. Clarke, S. Roques, D. Hatley, B. Marchant

33. An On-farm Experimental Philosophy for Farmer-centric Digital Innovation

In this paper, we review learnings gained from early On-Farm Experiments (OFE) conducted in the broadacre Australian grain industry from the 1990s to the present day. Although the initiative was originally centered around the possibilities of new data and analytics in precision agriculture, we discovered that OFEs could represent a platform for engaging farmers around digital technologies and innovation. Insight from interacting closely with farmers and advisors leads us to argue for a change... S. Cook, M. Lacoste, F. Evans, M. Ridout, M. Gibberd, T. Oberthur

34. Evaluation of Strip Tillage Systems in Maize Production in Hungary

Strip tillage is a form of conservation tillage system. It combines the benefits of conventional tillage systems with the soil-protecting advantages of no-tillage. The tillage zone is typically 0.25 to 0.3 m wide and 0.25 to 0.30 m deep. The soil surface between these strips is left undisturbed and the residue from the previous crop remain on the soil surface. The residue-covered area reaches 60-70%. Keeping residue on the surface helps prevent soil structure and reduce water loss from the so... T. Rátonyi, P. Ragán, D. Sulyok, J. Nagy, E. Harsányi, A. Vántus, N. Csatári

35. Delineation of 'Management Classes' Within Non-Irrigated Maize Fields Using Readily Available Reflectance Data and Their Correspondence to Spatial Yield Variation

Maize is grown predominantly for silage or gain in North Island, New Zealand. Precision agriculture allows management of spatially variable paddocks by variably applying crop inputs tailored to distinctive potential-yield limiting areas of the paddock, known as management zones. However, uptake of precision agriculture among in New Zealand maize growers is slow and limited, largely due to lack of data, technical expertise and evidence of financial benefits. Reflectance data of satellite and a... D.C. Ekanayake, J. Owens, A. Werner, A. Holmes

36. Improving Yield Prediction Accuracy Using Energy Balance Trial, On-the-Go and Remote Sensing Procedure

 Our long term experience in the ~23.5 ha research field since 2001 shows that decision support requires complex databases from each management zone within that field (eg. soil physical and chemical parameters, technological, phenological and meteorological data). In the absence of PA sustainable biomass production cannot be achieved. The size of management zones will be ever smaller. Consequently, the on the go and remote sensing data collection should be preferred.  ... A. Nyéki , G. Milics, A.J. Kovács, M. Neményi, I. Kulmány, S. Zsebő

37. Variety Effects on Cotton Yield Monitor Calibration

While modern grain yield monitors are able to harvest variety and hybrid trials without imposing bias, cotton yield monitors are affected by varietal properties. With planters capable of site-specific planting of multiple varieties, it is essential to better understand cotton yield monitor calibration. Large-plot field experiments were conducted with two southeast Missouri cotton producers to compare yield monitor-estimated weights and observed weights in replicated variety trials. Two replic... E. Vories, A. Jones, G. Stevens, C. Meeks

38. Can Optimization Associated with On-Farm Experimentation Using Site-Specific Technologies Improve Producer Management Decisions?

Crop production input decisions have become increasingly difficult due to uncertainty in global markets, input costs, commodity prices, and price premiums. We hypothesize that if producers had better knowledge of market prices, spatial variability in crop response, and weather conditions that drive crop response to inputs, they could more cost-effectively make profit-maximizing input decisions. Understanding the drivers of variability in crop response and designing accompanying management str... B.D. Maxwell, A. Bekkerman, N. Silverman, R. Payn, J. Sheppard, C. Izurieta, P. Davis, P.B. Hegedus

39. Draft Privacy Guidelines and Proposal Outline to Create a Field-Scale Trial Data Repository for Data Collected by On-Farm Networks

Implementing better management practices in corn and soybeans that increase profitability and reduce pollution caused by the practices requires large numbers of field-scale, replicated trials. Numerous complex and often unmeasurable interactions among the environment, genetics and management at the field scale require large numbers of trials completed at the field scale in a systematic and uniform manner to enable calculation of probabilities that a practice will be an improvement compared wi... T. Morris, N. Tremblay

40. An Economic-Theory-Based Approach to Management Zone Delineation

In both the academic and popular literatures on precision agriculture technology, a management zoneis generally defined as an area in a field within which the optimal input application strategy is spatially uniform.  The characteristics commonly chosen to delineate management zones, both in the literature and in commercial practice, are yield and variables associated with yield.  But microeconomic theory makes clear that economically optimal input application strategi... B. Edge

41. Influence of Planter Downforce Setting and Ground Speed on Seeding Depth and Plant Spacing Uniformity of Corn

Uniform seed placement improves seed-to-soil contact and requires proper selection of downforce control across varying field conditions. At faster ground speeds, downforce changes and it becomes critical to select the level of planter downforce settings to achieve the desired consistency of seed placement during planting. The objective of this study was to assess the effect of ground speed and downforce setting on seeding depth and plant spacing and to evaluate the relationship of ground spee... A. Sharda, S. Badua, I. Ciampitti, R. Strasser, T.W. Griffin

42. Investigate the Optimal Plot Length in On-Farm Trials

Agronomic researchers have recently begun running large-scale, on-farm field trials that employ new technologies that enable us to conduct hundreds of farm trials all over the world and, by extension, rigorous quantitative and data-centered analysis.  The large-scale, on-farm trials follow traditional small-plot trials where the fields are divided into plots, and different treatments are randomly assigned to each plot. Over the past two years, researchers have been designing trials with ... A. Gong

43. Using Deep Learning in Yield and Protein Prediction of Winter Wheat Based on Fertilization Prescriptions in Precision Agriculture

Precision Agriculture has been gaining interest due to the significant growth in the fields of engineering and computer science, hence leading to more sophisticated methods and tools to improve agricultural techniques. One approach to Precision Agriculture involves the application of mathematical models and machine learning to fertilization optimization and yield prediction, which is what this research focuses on. Specifically, in this work we report the results of predicting yield and protei... J. Sheppard, A. Peerlinck, B. Maxwell

44. 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 us... G. Hatfield, G. Reicks, E. Carter

45. eFields – An On-Farm Research Network to Inform Farm Recommendations

On-farm research has been traditionally used to provide local, field-scale information about agronomic practices. Farmers tend to have more confidence in on-farm research results because they are perceived to be more relevant to their farm operations compared to small plot research results. In recent years, more farmers have been conducting on-farm studies to help evaluate practices and input decisions.  Recent advances in precision agriculture technologies have stream-lined the on-... J.P. Fulton, E. Hawkins, R. Colley iii, K. Port, S. Shearer, A. Klopfenstein

46. Delineating Dynamic Variable Rate Irrigation Management Zones

Agriculture irrigation strategies have traditionally been made without accounting for the natural small-scale variability in the field, leading to uniform applications that often over-irrigate parts of the field that do not need as much water. The future success of irrigated agriculture depends on advancements in the capability to account for and leverage the natural variability in croplands for optimum irrigation management both in space and time. Variable Rate Irrigation (VRI) management of... R. Unruh, W.A. Yilma, D. Mandal, R. Joshi, R. Khosla

47. Spatio-temporal Analysis of Soil Moisture and Turfgrass Health to Investigate the Temporal Stability of Variable Rate Irrigation Zones

The western USA has been experiencing severe drought conditions for at least the last 20 years. The population in many areas of the west, like Utah, has also increased greatly in this time putting greater strain on the limited freshwater supply. While agriculture is generally the sector consuming the largest proportion of freshwater, conversion of agricultural land to urban areas with lawns, parks and playing fields may result in some reduction of water use, but the EPA have estimated that as... R. Kerry, K. Sanders, A. Swenson, A. Henrie, N. Hansen, B. Hopkins, B. Ingram

48. Assessing Precision Water Management in Cotton Using Unmanned Aerial Systems and Satellite Remote Sensing

The goal of this study was to improve agricultural sustainability and water use efficiency by allocating the right amount of water at the right place and time within the field. The objectives were to assess the effect of variable rate irrigation (VRI) on cotton growth and yield and evaluate the application of satellites and Unmanned aerial systems (UAS) in capturing the spatial and temporal patterns of cotton growth response to irrigation. Irrigation treatments with six replications of three ... O. Adedeji, W. Guo, H. Alwaseela, B. Ghimire, E. Wieber, R. Karn

49. Apparent Soil Electrical Conductivity As an Indicator of Failed Subsurface Drains

It is estimated that 2,000 ha of cropland are taken out of production daily worldwide due to salinization and sodification. Salinity is estimated to result in economic losses of $27.3 billion U.S. dollars annually. Our project aimed to develop techniques for quantifying the severity of soil-water salinity and impacts on crop production in the Lower Arkansas River Valley (LARV) in Colorado. The Fairmont Drainage District (FDD) study site in the LARV is a furrow-irrigated, tile-drained area of ... A. Andales, A.J. Brown

50. Evaluation of Peanut Response to Soil Water Levels Using the Crop Water Stress Index Generated from Infrared Thermal Sensors and Imagery

In precision agriculture, precise monitoring of crop water stress is crucial for optimizing water use, increasing crop yield, and promoting environmental sustainability. Achieving high water use efficiency in peanut production is key to producing high-quality crop. This study investigates the efficiency of infrared thermal sensors and thermal imagery from satellites and unmanned aerial vehicles (UAVs) for determining peanut crop water stress index (CWSI). Furthermore, this research explores t... B. Parbi, B.V. Ortiz, E. Abban-baidoo , A. Sanz-saez, J.S. Velasco