Fig. 3From: Detection and analysis of wheat spikes using Convolutional Neural NetworksSteps for training the model. Images are acquired in the field before being automatically cropped to a region of interest. Training images were then manually annotated with bounding boxes. Finally, both the cropped and annotated images were passed to the R-CNN model for trainingBack to article page