The Supplementary material-revised and Appendix document of the article "Rapid prediction of winter wheat yield and nitrogen use efficiency using consumer-grade multispectral Unmanned Aerial Vehicles
The gridded dataset used in this repository consists of 0.5° × 0.5° random-forest emulator outputs. The emulators were trained on site-year yield data generated with an improved APSIM-Barley configura
Additional file 1: The performance of regression-based machine learning algorithms using selected traits by feature selection methods as inputs to predict the seed yield of rapeseed.
