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Comparison of object detection methods for crop damage assessment using deep learning
Three popular object detectors (Faster R-CNN, YOLOv2, and RetinaNet) were assessed for their ability to detect damaged regions in a field.
Apricot variety classification using image processing and machine learning approaches
The objective of this research was to obtain a model for apricot mass and separate apricot variety with image processing technology using external features of apricot fruit.
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