Advancing post-harvest fruit handling through AI-based thermal imaging: applications, challenges, and future trends

Advancing post-harvest fruit handling through AI-based thermal imaging: applications, challenges, and future trends

Abstract Recent advancements in imaging, electronics, and computer science have engendered significant progress in non-destructive testing and quality monitoring within the agro-food industry. This progress is particularly evident in integrating infrared thermal imaging (TI) and artificial intellige...

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Bibliographic Details
Main Authors: P. Pathmanaban, B. K. Gnanavel, Shanmuga Sundaram Anandan, S. Sathiyamurthy
Format: Article
Language:English
Published: Springer 2023-12-01
Series:Discover Food
Subjects:
AI-based thermal imaging
Post-harvest fruit handling
Quality assessment
Non-destructive testing
Bruise detection
Maturity identification
Online Access:https://doi.org/10.1007/s44187-023-00068-2

Internet

https://doi.org/10.1007/s44187-023-00068-2

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