Unleashing the power of AI in predicting the technological and phenolic maturity of pomegranates cultivated in Lebanon

Unleashing the power of AI in predicting the technological and phenolic maturity of pomegranates cultivated in Lebanon

Abstract The harvesting time of pomegranates is crucial for maximizing their health benefits and market value. However, traditional methods often fail to consider the intricate interactions between environmental conditions and fruit maturity. This study is the first of its kind in Lebanon to address...

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Bibliographic Details
Main Authors: Rim Ghannoum, Nourhan Taha, David D. Gaviria, Hiba N. Rajha, Nada El Darra, Shadi Albarqouni
Format: Article
Language:English
Published: Nature Portfolio 2025-05-01
Series:Scientific Reports
Subjects:
Pomegranate
Machine Learning
Technological Maturity
Phenolic Maturity
Online Access:https://doi.org/10.1038/s41598-025-01936-w
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https://doi.org/10.1038/s41598-025-01936-w

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