Litcius/Paper detail

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

Sumanta Das, Jack Christopher, Armando Apan, Malini Roy Choudhury, Scott Chapman, Neal W. Menzies, Yash P. Dang

2021Agricultural and Forest Meteorology63 citationsDOI

Topics & Concepts

Soil waterBiomass (ecology)Environmental scienceCanopyMean squared errorSodic soilAgronomyCoefficient of determinationCropSoil scienceMathematicsBotanyStatisticsBiologyRemote Sensing in AgricultureLeaf Properties and Growth MeasurementPlant Water Relations and Carbon Dynamics
Evaluation of water status of wheat genotypes to aid prediction of yield on sodic soils using UAV-thermal imaging and machine learning | Litcius