Assessment of Variable Rate Nitrogen Application on Rice Cultivars Using Remote Sensing

Author

Rush Matthew Evans, Arkansas State UniversityFollow

Date of Award

2-9-2023

Document Type

Thesis

Degree Name

Environmental Sciences, MS

First Advisor

Ahmed Hashem

Committee Members

Arlene Adviento-Borbe; Gwanseon Kim; Jarrod Hardke; Steven Green

Call Number

LD 251 .A566t 2022 E83

Abstract

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.

Rights Management

This work is licensed under a Creative Commons Attribution 4.0 International License.

Recommended Citation

Evans, Rush Matthew, "Assessment of Variable Rate Nitrogen Application on Rice Cultivars Using Remote Sensing" (2023). Student Theses and Dissertations. 225.
https://arch.astate.edu/all-etd/225