"A comprehensive approach to detecting chemical adulteration in fruits ..."

Abdus Sattar et al. (2024)

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DOI: 10.1016/J.ISWA.2024.200402

access: open

type: Journal Article

metadata version: 2024-08-22

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Abdus Sattar, Md. Asif Mahmud Ridoy, Aloke Kumar Saha, Hafiz Md. Hasan Babu, Mohammad Nurul Huda:
A comprehensive approach to detecting chemical adulteration in fruits using computer vision, deep learning, and chemical sensors. Intell. Syst. Appl. 23: 200402 (2024)

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