Assimilation of deep learning and machine learning schemes into a remote sensing-incorporated crop model to simulate barley and wheat productivities

HIGHLIGHTS

• who: Taehwan Shin and collaborators from the Department of Applied Plant Science, Chonnam National University, Gwangju, Korea have published the research work: Assimilation of Deep Learning and Machine Learning Schemes into a Remote Sensing-Incorporated Crop Model to Simulate Barley and Wheat Productivities, in the Journal: (JOURNAL) of 20/08/2022
• what: This study reports on an advanced fusion methodology for evaluating the leaf area index (LAI) of and that employs remotely sensed information based on deep neural network (DNN) and ML regression approaches. The overall goal of this study was to develop an advanced . . .
  

   

  

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