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Machine learning-driven assessment of biochemical qualities in tomato and mandarin using RGB and hyperspectral sensors as nondestructive technologies
- 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
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- Published: August 26, 2024
- https://doi.org/10.1371/journal.pone.0308826