most citedFruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.CV2026★ 2 cited

Fruit-HSNet: A Machine Learning Approach for Hyperspectral Image-Based Fruit Ripeness Prediction

Ahmed Baha Ben Jmaa, Faten Chaieb, Anna Fabijańska

Fruit ripeness prediction (FRP) is a classification-based agricultural computer vision task that has attracted much attention, thanks to its wide-ranging advantages in agriculture…