Original paper
Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning
Abstract
Water stress limits wheat growth and the yield on rain-fed sodic soils. Appropriate selection of traits and novel methods are required to forecast yield and to identify water stress tolerant wheat genotypes on sodic soils. In this study, we proposed a thermal remote sensing and machine learning-based approach to help predict the biomass and grain yields of wheat genotypes grown with variable water stress in sodic soil environments. We employed...
Paper Details
Title
Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning
Published Date
Sep 1, 2021
Volume
307
Pages
108477 - 108477
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