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Found 4 papers, 1 papers with code
How useful is Active Learning for Image-based Plant Phenotyping?
To overcome this challenge, active learning algorithms have been proposed that reduce the amount of labeling needed by deep learning models to achieve good predictive performance.
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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