Proceedings
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| Filter results16 paper(s) found. |
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1. Field Level Management and Data Verification of Variable Rate Fertilizer ApplicationIncreased cost efficiencies and ease of use make spinner-disc spreaders the primary method of applying fertilizers throughout much of the United States. Recently, advances in spreader systems have enabled multiple fertilizer products to be applied at variable application rates. This provides greater flexibility during site-specific management of in-field fertility. Physical and aerodynamic properties vary for fertilizer granules of different sources and densities, these properties in turn affect... R. Colley Iii, J. Fulton, S. Virk, E. Hawkins |
2. Correlating Plant Nitrogen Status in Cotton with UAV Based Multispectral ImageryCotton 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 |
3. Effectiveness of Different Precision Soil Sampling Strategies for Site-Specific Nutrient Management in Row-CropsSoil sampling is an important component of site-specific nutrient management in precision agriculture. While precision soil sampling strategies such as grid or zone have been around for a while, the adoption and utilization of these strategies varies considerably among the growers, especially in the southeastern United States. The selection of an appropriate grid size or management zone further differ among the users depending on several factors. In order to better understand how some of the commonly... M.W. Tucker, S. Virk, G. Harris, J. Lessl, M. Levi |
4. Potential of UAS Multispectral Imagery for Predicting Yield Determining Physiological Parameters of CottonThe use of unmanned aerial systems (UAS) in precision agriculture has increased rapidly due to the availability of reliable, low-cost, and high-resolution sensors as well as advanced image processing software. Lint yield in cotton is the product of three physiological parameters: photosynthetically active radiation intercepted by canopy (IPAR), the efficiency of converting intercepted active radiation to biomass (RUE), and the ratio of economic yield to total dry matter (HI). The relationships... A. Pokhrel, S. Virk, J.L. Snider, G. Vellidis, V. Parkash |
5. Effect of Application Rate and Height on Spray Deposition and Efficacy of Fungicides Applied with a Spray Drone in CornFoliar application of fungicides is a key management strategy for corn growers in the United States to protect crop yield from diseases like southern corn rust (SCR), tar spot (TS), and northern corn leaf blight (NLB). Recently, the use of spray drones for fungicide applications have gained an interest among growers and consultants due to their potential as another application tool to ensure the timely application of fungicides. Currently, the information on optimal application parameters to maximize... C. Byers, S. Virk, R.C. Kemerait |
6. Spray Deposition and Efficacy of Pesticide Applications with Spray Drones in Row Crops in the Southeastern USThe use of spray drones for pesticide applications is expanding rapidly in agriculture, with one of the top uses currently being in the row crop production. Several research studies were undertaken in 2022 and 2023 to measure and assess spray deposition and efficacy of pesticides applied with spray drones in the major row crops (corn, cotton and peanuts) grown in the southeastern US. These studies also evaluated and compared the deposition and pesticide efficacy of spray drones with traditional... C. Byers, R. Meena, J. Kichler, R.C. Kemerait, L. Hand, S. Virk |
7. Static and In-field Validation of Application Accuracy of Commercial Spray Drones at Varying Rates and SpeedsThe emerging application of spray drones in agriculture for pesticide delivery has seen significant interest recently. Currently, various spray drone platforms with advanced capabilities such as variable-rate application and edge-spraying are commercially available; however, limited research and information is available regarding the application accuracy of these systems. Pesticide applications with spray drones in several research studies conducted at the University of Georgia in 2023 indicated... S. Virk, R.K. Meena, C. Byers |
8. Application Accuracy of Two Different Sprayer Flow Control Systems During Site-specific Pesticide ApplicationsPrecise and efficient pesticide applications are crucial aspects of modern agriculture to effectively manage pests throughout the season while also reducing the negative impacts of pesticides on the environment. Recent advancements in spray technology, such as pulse width modulation (PWM) and individual nozzle control, have enabled capabilities for site-specific pesticide applications on modern application equipment. With the increasing interest of industry and growers in site-specific pesticide... R.K. Meena, S. Virk, C. Byers, G. Rains |
9. Spray Deposition Characterization of Uniform and Variable-rate Applications with Spray DronesThe use of unmanned aerial application systems (also known as spray drones) has seen rapidly increasing interest in recent years due to their potential to allow for timely application of pesticides and being able to apply in areas inaccessible to ground application sprayers. Newer spray drone models’ have improved application systems such as rotary atomizers for creating spray droplets and capabilities such as variable-rate (VR) application for site-specific pesticide applications. An investigation... C. Byers, S. Virk, R.K. Meena, G. Rains |
10. Improving Site-specific Nutrient Management in the Southeastern US: Variable-rate Fertilization Based on Yield Goal by Management ZoneSite-specific nutrient management is a critical aspect of row crop production, especially when aiming to achieve improved yields in the highly variable fields in the Southeastern United States. Variable-rate (VR) fertilizer application is a common practice to implement site-specific nutrient management and relies heavily on the use of precision soil sampling methods (grid or zone) to obtain accurate information on spatial nutrient variability within the fields. Most fields in the southeastern... S. Virk, T. Colley, C. Kamerer, G. Harris, D. Beasley |
11. Effect of Post-processing on the Performance of Clustering Algorithms for Delineating Management Zones for Precision Soil SamplingSoil nutrient variability directly influences crop yield; therefore, site-specific management requires maps that can depict variability within the fields. Here, management zone (MZ) approaches have been used, typically derived from clustering analyses applied to low-cost environmental variables. There is still no consensus on zone delineation strategies that maximize the reduction of soil variability, nor on the relative performance of clustering algorithms. Moreover, post-processing of... D.D. Melo, L.R. Amaral, L. Bastos, S. Virk |
12. Assessing Metering and Spreading Performance of Drones (UAVs) for Application of Dry MaterialsAlong with pesticide applications, the use of UAVs (also commonly referred to as drones) for applying dry materials has increased rapidly in the United States. Currently, various types of product metering and spreading systems are available on commercial drones for applying dry materials. However, limited information is available on their application performance, especially the metering accuracy and the uniformity of distribution across the swath. Therefore, research studies were conducted to... S. Virk, E. Ward, J. Sizemore |
13. A Canopy-based Decision Framework for Selecting Sensor Platform and Vegetation Index in Variable-rate Nitrogen Management of Irrigated CornSensor-based variable-rate nitrogen (VRN) management promises field-specific N optimization, yet the choice of sensing platform fundamentally alters N recommendations. At early growth stages, a "double penalty" emerges: nitrogen-deficient plants produce smaller canopies, exposing more bare soil, which deflates vegetation index (VI) values and inflates N recommendations where accuracy matters most. This study developed a canopy coverage-based decision framework for selecting optimal sensor... A. Jakhar, L. Bastos, R. Roth, S. Virk, A. Bhattarai, K. Poudel, A. Dhaliwal |
14. Spreading Performance of a UAV for Cover Crop (Cereal Rye) Seeding at Varying Application Rates and Flight SpeedsWith the increased use of UAVs for pesticide applications in agriculture, there is growing interest in their use for applying dry solid materials, especially for seeding cover crops. However, limited information currently exists on the application performance of UAVs for broadcasting cover crop seed and the effects of different operational parameters. Therefore, studies were conducted to assess the spreading performance of a DJI Agras T25 UAV under varying application rates (22.4, 33.6, 44.8,... S. Virk, J. Sizemore |
15. Current Scenario of Precision and Digital Agriculture in the USA... S. Virk, B.V. Ortiz |
16. Panelist Question and Answers... J.P. Molin, D. Cammarano, S. Virk, B.V. Ortiz |