Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies

Bibliographic Details
Main Authors:	Adel H. Elmetwalli, Asaad Derbala, Ibtisam Mohammed Alsudays, Eman A. Al-Shahari, Mahmoud Elhosary, Salah Elsayed, Laila A. Al-Shuraym, Farahat S. Moghanm, Osama Elsherbiny
Format:	Article
Language:	English
Published:	Public Library of Science (PLoS) 2024-01-01
Series:	PLoS ONE
Online Access:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11346661/?tool=EBI

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