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arXiv Machine Learning By Ahmed Baha Ben Jmaa, Faten Chaieb, Anna Fabija\'nska

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

Read the original on arXiv Machine Learning →

arXiv:2608. 01202v1 Announce Type: cross Abstract: 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 field for both pre-harvest and post-harvest management.

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