Identifying Defective Fruits and Vegetables with Hyper-spectral Images: A Brief Tutorial

Horticulture is the branch of agriculture that addresses the crop of fruits and vegetables. This art of cultivating natural products has been a critical research area that helped to satisfy human's food consumption. The enhancement of quality control has improved the cost-effectiveness and increased the financial profit of the production. This study presents a processing pipeline architecture that assesses the quality of fruits and vegetables through image processing. The solution involves hyper-spectral imaging, image enhancement, image binarization, and median filtering. Our experiments demonstrate that our image processing pipeline proposal successfully identifies the defective regions in a publicly available dataset that contains images of apples and onions.