SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection

SmartRipen: LSTM-GRU feature selection& XGBoost-CNN for fruit ripeness detection

Artificial ripening, frequently performed with the use of calcium carbide, speeds up the process but harms fruit and its nutritional value. Spotting unnaturally ripened fruits is crucial for the quality and safety of food, but current models are inefficient or too complicated, especially for diverse...

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Bibliographic Details
Main Authors: Archana Ganesh Said, Bharti Joshi
Format: Article
Language:English
Published: KeAi Communications Co., Ltd. 2025-09-01
Series:Food Physics
Subjects:
Artificial ripening
Thermal image segmentation
LSTM-GRU fusion
Variance maximization
XGBoost CNN
Bacterial Foraging Optimizer (BFO)
Online Access:http://www.sciencedirect.com/science/article/pii/S2950069925000076
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http://www.sciencedirect.com/science/article/pii/S2950069925000076

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