Leaf water potential of field crops estimated using NDVI in ground-based remote sensing-opportunities to increase prediction precision.

ABSTRACT: Remote-sensing using normalized difference vegetation index (NDVI) has the potential of rapidly detecting the effect of water stress on field crops. However, this detection has typically been accomplished only after the stress effect led to significant changes in crop green biomass, leaf area index, angle and position, and few studies have attempted to estimate the uncertainties of the regression models. These have limited the informed interpretation of NDVI data in agricultural applications. We built a ground-based sensing cart and used it to calibrate the relationships between NDVI and leaf water potential (LWP) for wheat, corn, and cotton growing under field conditions. Both the methods of ordinary least-squares (OLS) and weighted least-squares (WLS) were employed in data analysis, and

SUBMITTER: Dong X 

PROVIDER: S-EPMC8380031 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature