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Woodbury, B.L
Wieber, E
Williams, C.M
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Authors
Eigenberg, R.A
Woodbury, B.L
Nienaber, J.A
Vincent, G
Kudenov, M
Balint-Kurti, P
Dean, R
Williams, C.M
Adedeji, O
Guo, W
Alwaseela, H
Ghimire, B
Wieber, E
Karn, R
Topics
Artificial Intelligence (AI) in Agriculture
Drainage Optimization and Variable Rate Irrigation
Type
Oral
Year
2008
2024
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Filter results3 paper(s) found.

1. Precision Management of Cattle Feedlot Waste

Open-lot cattle feeding operations face challenges in control of nutrient runoff, leaching, and gaseous emissions. This report investigates the use of precision management of saline soils as found on 1) feedlot surfaces and on a 2) vegetative treatment area (VTA) utilized to control feedlot runoff. An electromagnetic induction soil conductivity meter was used to collect apparent soil electrical conductivity (ECa) from a feedlot pen and a research VTA at the U.S. Meat Animal Research Center, Clay...

2. Utilizing Hyperspectral Field Imagery for Accurate Southern Leaf Blight Severity Grading in Corn

Crop disease detection using traditional scouting and visual inspection approaches can be laborious and time-consuming. Timely detection of disease and its severity over large spatial regions is critical for minimizing significant yield losses. Hyperspectral imagery has been demonstrated as a useful tool for a broad assessment of crop health.  The use of spectral bands from hyperspectral data to predict disease severity and progression has been shown to have the capability of enhancing early... G. Vincent, M. Kudenov, P. Balint-kurti, R. Dean, C.M. Williams

3. 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 different... O. Adedeji, W. Guo, H. Alwaseela, B. Ghimire, E. Wieber, R. Karn