Artificial intelligence and machine learning in postharvest fruit quality assessment: current challenges, recent advances, and future prospects

The postharvest phase is critical to maintaining the quality, safety, and marketability of horticultural produce. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as transformative tools in this domain, offering rapid, non-destructive, and highly accurate methods for assessing fru...

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Bibliographic Details

Main Authors:	Gidado, M. J., Nagoor Gunny, Ahmad Anas, Gopinath, Subash C. B., Devi, Monisha, Mohd Ibrahim, Azhar
Format:	Article
Language:	en en en
Published:	Elsevier 2026
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/127409/1/127409_Artificial%20intelligence%20and%20machine%20learning.pdf http://irep.iium.edu.my/127409/2/127409_Artificial%20intelligence%20and%20machine%20learning_SCOPUS.pdf http://irep.iium.edu.my/127409/3/127409_Artificial%20intelligence%20and%20machine%20learning_WOS.pdf http://irep.iium.edu.my/127409/ https://www.sciencedirect.com/science/article/abs/pii/S0022474X26000123
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