HIGHLIGHTS
- who: Yiting Ren and collaborators from the Aerospace Information Research Institute, Chinese Academy of Sciences, Beijing, China College of Resources and Environment, University of Chinese Academy of Sciences, Beijing, China have published the research work: Analysis of Corn Yield Prediction Potential at Various Growth Phases Using a Process-Based Model and Deep Learning, in the Journal: Plants 2023, 446 of 18/Dec/2022
- what: In this study a hybrid approach using the WOFOST model and deep learning was developed to forecast corn yield which analysed yield prediction potential at different growth phases and features. To . . .
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