Roy Choudhury, M.; Das, S.; Christopher, J.; Apan, A.; Chapman, S.; Menzies, N.W.; Dang, Y.P.
Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques. Remote Sens. 2021, 13, 3482.
https://doi.org/10.3390/rs13173482
AMA Style
Roy Choudhury M, Das S, Christopher J, Apan A, Chapman S, Menzies NW, Dang YP.
Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques. Remote Sensing. 2021; 13(17):3482.
https://doi.org/10.3390/rs13173482
Chicago/Turabian Style
Roy Choudhury, Malini, Sumanta Das, Jack Christopher, Armando Apan, Scott Chapman, Neal W. Menzies, and Yash P. Dang.
2021. "Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques" Remote Sensing 13, no. 17: 3482.
https://doi.org/10.3390/rs13173482
APA Style
Roy Choudhury, M., Das, S., Christopher, J., Apan, A., Chapman, S., Menzies, N. W., & Dang, Y. P.
(2021). Improving Biomass and Grain Yield Prediction of Wheat Genotypes on Sodic Soil Using Integrated High-Resolution Multispectral, Hyperspectral, 3D Point Cloud, and Machine Learning Techniques. Remote Sensing, 13(17), 3482.
https://doi.org/10.3390/rs13173482