Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning

Title
Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning
Authors
Keywords
Thermal remote sensing, Crop water stress, Classification and regression tree, Biomass yield, Grain yield, Sodic soils
Journal
AGRICULTURAL AND FOREST METEOROLOGY
Volume 307, Issue -, Pages 108477
Publisher
Elsevier BV
Online
2021-05-29
DOI
10.1016/j.agrformet.2021.108477

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