Okra, renowned for its abundance of essential nutrients, emerges as a promising solution in addressing malnutrition, advocating for sustainable agriculture, and showcasing versatile untapped potentials. Our objective is to enhance the quality, market attractiveness, and culinary adaptability of okra harvests by classifying them into over-matured and adequately matured groups through a non-invasive approach. This dataset is centered on thermal images capturing different maturity levels of okra, categorized into two distinct groups.
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