Fig. 5
From: Yield prediction by machine learning from UAS-based multi-sensor data fusion in soybean
Prediction errors and actual Grain Yield (GY) sorted smallest to largest per plot along the training dataset a and testing dataset b (please note that the errors and GY are ploted in the primary and secondary axis, respectively); scatter plots of the measured against the predicted grain yield (kg*ha − 1) by RF and XGBoost from training c and testing dataset d. In both cases is drawn the line corresponding to the robust linear fit at 95% of confidence