Proceedings
Topics
| Filter results15 paper(s) found. |
|---|
1. Using Crop Budgeting Spreadsheets Can Assist Producers In Evaluating The Cost Effectiveness Of Adoption Of The Various Precision Agriculture TechnologiesProducers asked the question which Precision Agriculture Technologies can be economical in my farming operation? The use of easily modified crop budgets can help the producer evaluate the technologies and how they affect the profitability of one’s agricultural enterp... R.N. Klein, R. Wilson |
2. On-Farm Trials Using Precision Ag in Northeast LouisianaThe availability of yield monitors and precision application equipment on producers’ farms have made it much easier for researchers to take the results from experiment station trials and apply them to producers’ fields. Treatments/methods are applied in strips, by prescription, embedded plots or in combination. Fields are divided into zones for analyzing the harvest yield data. These can include soil type, soil Ec, or other criteria. Treatments are analyzed... D. Burns, D. Overstreet, D. Kruse, R. Frazier, D. Blanche |
3. The Use of Artificial Neuronal Networks to Generate Decision Rules for Site-Specific Nitrogen FertilizationThe basis for successful and sustainable agriculture is the utilization of adequate decision rules. When it comes to precision farming, these rules have to be applied to each sub-field, where they determine the actions to be taken. There are many possibilities for achieving site-specific information for a field (e.g. measuring the electrical conductivity of soil or yield mapping). But which rules should be used to link this information with profit maximization treatment recommendati... P. Wagner |
4. The Adoption of Information Technologies and Subsequent Changes in Input Use in Cotton ProductionThe use of precision farming has become increasingly important in cotton production. It allows farmers to take advantage of knowledge about infield variability by applying expensive inputs at levels appropriate to crop needs. Essential to the success of the p... N.M. Thompson, J.A. Larson, B.C. English, D.M. Lambert, R.K. Roberts, M. Velandia, C. Wang |
5. Adoption and Non-Adoption of Precision Farming Technologies by Cotton FarmersWe used the 2009 Southern Cotton Precision Farming Survey data collected from farmers in twelve U.S. states (Alabama, Arkansas, Florida, Georgia, Louisiana, Missouri, Mississippi, North Carolina, South Carolina, Tennessee, Texas, and Virginia) to identify reasons on why some adopt and others do not adopt precision farming techniques. Those farmers who provided the cost as the reason for non-adoption are farmers characterized by lower educatio... A.K. Mishra, M. Pandit, K.P. Paudel, E. Segarra |
6. Adoption and Tendencies of Precision Agriculture Technologies in the Tocantins State, BrazilAlthough precision agriculture is widely used throughout Brazilian crop production, it has not been used to increase the efficiency use of agricultural inputs. Besides, technologies available have not bee... L. Bortolon, E. Borghi, A. Luchiari junior, E.S. Bortolon, A.A. Freitas, R.Y. Inamasu, J.C. Avanzi |
7. Economic Potential Of Monitoring Protein Content At Harvest And Blending Wheat GrainPrecision agriculture has been primarily focused on the management of inputs but recently developed technologies that monitor grain quality at harvest create the opportunity to manage outputs spatially. Provided specific product qualities achieve higher prices, monitoring, separation and blending may be economically justified. This paper analyzes the potential economic effects of blending different grain qualities at the farm level. We estimated sub-field spec... A. Meyer-aurich, M. Gandorfer, A. Weersink, P. Wagner |
8. New Geospatial Technologies For Precision Farming... K. Charvat, J. Cepicky, P. Gnip |
9. Proper Implementation Of Precision Agricultural Technologies For Conducting On-farm ResearchPrecision agricultural technologies provide farmers, practitioners and researchers the ability to conduct on-farm or field-scale research to refine farm management, improve long term crop production decisions, and implement site-specific management strategies. However, the limitations of these technologies must be understood to draw accurate and meaningful conclusions from such investigations. Therefore, the objective of this paper was to outline the limitations of seve... J.P. Fulton, M.J. Darr, R.K. Taylor, T.P. Mcdonald |
10. Optimizing N, P, K, And S Application Across Landscapes In The Northern Great Plains Using The Plant Root Simulator (PRS™ ) Technology.Early papers on precision farming focused on variable rate fertilization and variable spraying technology (Roberts, 1996). The adoption of this 1st round of precision farming was acknowledged to be a “dead horse” (Mangold, 2000). These authors put forward the notion that farmers needed better tools to decide if the intensive management of fertilizer would result in a significant reduction in input costs, or a significant increase in crop yie... K. Greer |
11. Delineating Dynamic Variable Rate Irrigation Management ZonesAgriculture 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 |
12. Spatio-temporal Analysis of Soil Moisture and Turfgrass Health to Investigate the Temporal Stability of Variable Rate Irrigation ZonesThe 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 |
13. Assessing Precision Water Management in Cotton Using Unmanned Aerial Systems and Satellite Remote SensingThe 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 |
14. Apparent Soil Electrical Conductivity As an Indicator of Failed Subsurface DrainsIt 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 |
15. Evaluation of Peanut Response to Soil Water Levels Using the Crop Water Stress Index Generated from Infrared Thermal Sensors and ImageryIn 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 |