Non-destructive Classification of Harvested Terung Asam (Solanum lasiocarpum Dunal.) Utilising Thermal Imaging and Machine Learning Across Different Storage Days

Thermal imaging has non-invasive qualities which have attracted the interest of researchers as it could improve agricultural methods, especially in the field of fruit classification based on their storage duration. This study explores the potential of thermal imaging and machine learning for the non...

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Bibliographic Details

Main Authors:	Sophia Ann, Suring, Bernard, Maringgal, Surisa, Phornvillay, Norhashila, Hashim, Maimunah, Mohd Ali
Format:	Article
Language:	en
Published:	Springer Nature 2026
Subjects:	Q Science (General) S Agriculture (General) T Technology (General)
Online Access:	http://ir.unimas.my/id/eprint/51177/1/s11947-025-04172-2.pdf http://ir.unimas.my/id/eprint/51177/ https://link.springer.com/article/10.1007/s11947-025-04172-2 https://doi.org/10.1007/s11947-025-04172-2
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