Agricultural and Biological Systems Engineering, Department of
Department of Agricultural and Biological Systems Engineering: Faculty Publications
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Document Type
Article
Date of this Version
4-2020
Citation
Singh J, Heeren D, Ge Y, Bai G (2020) Capturing Spatial Variability in Maize and Soybean using Stationary Sensor Nodes, Poster Presentation UNL Spring Research Fair, University of Nebraska-Lincoln.
Abstract
• Irrigation in agriculture maximizes crop yield and improves food security globally • Irrigation scheduling is strongly based on the ability to accurately estimate the appropriate amount and timing of water application • The timing of the irrigation can best be informed through the crop canopy stress, and the amount of irrigation is informed through soil moisture depletion
• Developing upper (non-water stressed) and lower (non-transpiring) baselines for irrigated and non-irrigated maize and soybean • Investigating the relationship between the canopy stress and the soil moisture stress
The canopy temperature stress and soil moisture depletion had stronger correlation for non-irrigated treatments in soybean than maize
Included in
Bioresource and Agricultural Engineering Commons, Environmental Engineering Commons, Other Civil and Environmental Engineering Commons
Comments
Copyright 2020 by the authors