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

Malini Roy Choudhury, Sumanta Das, Jack Christopher, Armando Apan, Scott C. Chapman, Neal W. Menzies, Yash P. Dang. 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, 2021. [doi]

@article{ChoudhuryDCACMD21,
  title = {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},
  author = {Malini Roy Choudhury and Sumanta Das and Jack Christopher and Armando Apan and Scott C. Chapman and Neal W. Menzies and Yash P. Dang},
  year = {2021},
  doi = {10.3390/rs13173482},
  url = {https://doi.org/10.3390/rs13173482},
  researchr = {https://researchr.org/publication/ChoudhuryDCACMD21},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {13},
  number = {17},
  pages = {3482},
}