Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches

LiangLiang Zhang, Zhao Zhang, Yuchuan Luo, Juan Cao, Fulu Tao. Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches. Remote Sensing, 12(1):21, 2020. [doi]

@article{ZhangZLCT20,
  title = {Combining Optical, Fluorescence, Thermal Satellite, and Environmental Data to Predict County-Level Maize Yield in China Using Machine Learning Approaches},
  author = {LiangLiang Zhang and Zhao Zhang and Yuchuan Luo and Juan Cao and Fulu Tao},
  year = {2020},
  doi = {10.3390/rs12010021},
  url = {https://doi.org/10.3390/rs12010021},
  researchr = {https://researchr.org/publication/ZhangZLCT20},
  cites = {0},
  citedby = {0},
  journal = {Remote Sensing},
  volume = {12},
  number = {1},
  pages = {21},
}