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Hoffmann, W.C
Walsh, O.S
Mueller, T
Buelvas, R.M
Bishop, T
Barlage, M
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Authors
Mueller, T
Hoffmann, W.C
Lan, Y
Mueller, T
Corá, J
Castrignanò, A
Rodrigues, M
Rienzi, E
Mueller, T
Gianello, E
Mijatovic, B
Rienzi, E
Rodrigues, M
Mueller, T
Matocha, C
Sikora, F
Mijatovic, B
Rienzi, E
Mueller, T
Mueller, T
Neelakantan, S
Helmers, M
Dosskey, M
Mahoney, W
Barlage, M
Gochis, D
Chen, F
Walsh, O.S
Belmont, K
McClintick-Chess, J
Marshall, J
Jackson, C
Thompson, C
Swoboda, K
Sassenrath, G.F
Mueller, T
Alarcon, V.J
Kulesza, S.E
Shoup, D
Walsh, O.S
Shafian, S
Tikasz, P
Buelvas, R.M
Lefsrud, M
Adamchuk, V
Buelvas, R.M
Adamchuk, V.I
Walsh, O.S
Shafian, S
Lamichhane, R
Owusu Ansah, E
Nambi, E
Bautista, F
Tilse, M.J
Filippi, P
Bishop, T
Filippi, P
Bishop, T
Al-Shammari, D
McPherson, T
Filippi, P
Bishop, T
Han, S
Topics
Precision Conservation and Carbon Management
Precision Aerial Application
Spatial Variability in Crop, Soil and Natural Resources
Precision Conservation Management
Spatial Variability in Crop, Soil and Natural Resources
Precision Nutrient Management
Spatial Variability in Crop, Soil and Natural Resources
Applications of Unmanned Aerial Systems
Precision Horticulture
Proximal and Remote Sensing of Soil and Crop (including Phenotyping)
Applications of Unmanned Aerial Systems
Proximal and Remote Sensing of Soils and Crops (including Phenotyping)
Decision Support Systems
Big Data, Data Mining and Deep Learning
Type
Poster
Oral
Year
2012
2014
2016
2018
2022
2024
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Authors

Filter results17 paper(s) found.

1. Cloud Computing and Web 2.0 Mapping Technologies for Disseminating Land Use Planning Information

Open source software and cloud computing techniques could substantially improve the performance and reduce the cost of disseminating land-use planning information for the USDA-NRCS and other organizations. This is a major upgrade of our previously work (Hamilton,2009; Neelakantan et al., 2011). The purpose of this study is to develop a prototype cloud-based Web 2.0 mapping system for MLRA-121 which is primarily in Kentucky... T. Mueller

2. Current Status and Future Directions of Precision Aerial Application For Site-Specific Crop Management In The USA

Precision agriculture includes different technologies that allow agricultural professional to use information management tools to optimize agriculture production. The new technologies allow aerial application applicators to improve application accuracy and efficiency, which saves time and money for the farmer and the pilot. The USDA-ARS-Aerial Application Technology group has an active research component in precision... W.C. Hoffmann, Y. Lan

3. Spatial and Temporal Variability of Corn Grain Yield as a Function of Soil Parameters, and Climate Factors

Effective site-specific management requires an understanding the influence of soil and weather on yield variability. Our objective was to examine the influence of soil, precipitation, and temperature on spatial and temporal corn grain yield variability.  The study site (10 by 250 -m in size) was located in Jaboticabal, São Paulo State, on a Rhodic Hapludox. Corn yield (planted with 0.9-m spacing) was measured... T. Mueller, J. Corá, A. Castrignanò, M. Rodrigues, E. Rienzi

4. On-The-Go pH Sensor: An Evaluation in a Kentucky Field

A commercially available on-the-go soil pH sensor measures and maps subsurface soil pH at high spatial intensities across managed landscapes.  The overall purpose of this project was to evaluate the potential for this sensor to be used in agricultural fields. The specific goals were to determine and evaluate 1) the accuracy with which this instrument can be calibrated, 2) the geospatial structure of soil pH measurements,... T. Mueller, E. Gianello, B. Mijatovic, E. Rienzi, M. Rodrigues

5. Soil Organic Carbon Multivariate Predictions Based on Diffuse Spectral Reflectance: Impact of Soil Moisture

Spatial predictions of soil organic carbon (OC) developed with proximal and remotely sensed diffuse reflectance spectra are complicated by field soil moisture variation. Our objective was to determine how moisture impacted spectral reflectance and Walkley-Black OC predictions. Soil reflectance from the North American Proficiency Testing... T. Mueller, C. Matocha, F. Sikora, B. Mijatovic, E. Rienzi

6. Cloud Computing, Web-Based GIS, Terrain Analysis, Data Fusion, and Multivariate Statistics for Precision Conservation in the 21st Century

... T. Mueller

7. Precision Design Of Vegetative Buffers

Precision agriculture techniques can be applied at field margins to improve performance of water quality protection practices. Effectiveness of vegetative buffers, conventionally designed to have uniform width along field margins, is limited by spatially non-uniform runoff from fields. Effectiveness can be improved by placing relatively wider buffer at locations where loads are greater. A GIS tool was developed that accounts for non-uniform flow and produces more-effective, variable-width,... T. Mueller, S. Neelakantan, M. Helmers, M. Dosskey

8. Developing A High-Resolution Land Data Assimilation And Forecast System For Agricultural Decision Support

Technological advances in weather and climate forecasting and land surface and hydrology modeling have led to an increased ability to predict soil temperature, and soil moisture, near-surface weather elements. These variables are critical building blocks to the development of high-level agriculture-specific models such as pest models and crop yield models. The National Center for Atmospheric Research (NCAR) has developed a high-resolution agriculture-oriented land-data assimilation... W. Mahoney, M. Barlage, D. Gochis, F. Chen

9. UAV-based Crop Scouting for Precision Nutrient Management

Precision agriculture – is one of the most substantial markets for the Unmanned Aerial Vehicles (UAVs). Mounted on the UAVs, sensors and cameras enable rapid screening of large numbers of experimental plots to identify crop growth habits that contribute to final yield and quality in a variety of environments. Wheat is one of the Idaho’s most important cereal crops grown in 42 of 44 Idaho counties. We are working on establishing a UAV-based methodology for in-season prediction of wheat... O.S. Walsh, K. Belmont, J. Mcclintick-chess, J. Marshall, C. Jackson, C. Thompson, K. Swoboda

10. In-field Variability of Terrain and Soils in Southeast Kansas: Challenges for Effective Conservation

A particular challenge for crop production in southeast Kansas is the shallow topsoil, underlain with a dense, unproductive clay layer. Concerns for topsoil loss have shifted production systems to reduced tillage or conservation management practices. However, historical erosion events and continued nutrient and sediment loss still limit the productive capacity of fields. To improve crop production and further adoption of conservation practices, identification of vulnerable areas of fields was... G.F. Sassenrath, T. Mueller, V.J. Alarcon, S.E. Kulesza, D. Shoup

Showing 1 to 10 of 17 entries