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Assessment of Variable Rate Nitrogen Application on Rice Cultivars Using Remote Sensing
by
Evans, Rush Matthew
in
Agriculture
/ Environmental science
/ Remote sensing
2022
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Assessment of Variable Rate Nitrogen Application on Rice Cultivars Using Remote Sensing
by
Evans, Rush Matthew
in
Agriculture
/ Environmental science
/ Remote sensing
2022
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Assessment of Variable Rate Nitrogen Application on Rice Cultivars Using Remote Sensing
Dissertation
Assessment of Variable Rate Nitrogen Application on Rice Cultivars Using Remote Sensing
2022
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Overview
Application of the right time and amount of fertilizer N is challenging in rice fertilization because crop N supply is highly variable in the field. Research plots were established at four research plot fields and one commercial field in Arkansas. Independent variables included six nitrogen (N) application rates (0, 67, 101, 134.5, 168, and 202 kg N ha-1), multiple rice cultivars, and five locations. The response variable was 24 vegetative indices values using high spatio-temporal multispectral and thermal imagery obtained from an Unmanned Aerial Vehicle (UAV). The 134 and 168 kg N ha-1 rates were identified as the control group (recommended rate), indicating deficient and sufficient N application could be detected using sensing technologies when visual inspection fails to detect such differences. The results showed that in-season assessments of rice N-demand using remote sensing indices might provide a useful N-management tool for in-season N-management and recommendations for both grain yield and profit.
Publisher
ProQuest Dissertations & Theses
Subject
ISBN
9798371990105
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