A Remote Sensing Approach for Assessing Daily Cumulative Evapotranspiration Integral in Wheat Genotype Screening for Drought Adaptation.

ABSTRACT: This study considers critical aspects of water management and crop productivity in wheat cultivation, specifically examining the daily cumulative actual evapotranspiration (ETa). Traditionally, ETa surface energy balance models have provided estimates at discrete time points, lacking a holistic integrated approach. Field trials were conducted with 22 distinct wheat varieties, grown under both irrigated and rainfed conditions over a two-year span. Leaf area index prediction was enhanced through a robust multiple regression model, incorporating data acquired from an unmanned aerial vehicle using an RGB sensor, and resulting in a predictive model with an R² value of 0.85. For estimation of the daily cumulative ETa integral, an integrated approach involving remote sensing and energy

SUBMITTER: Gomez-Candon D 

PROVIDER: S-EPMC10675030 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature