Predicting the quality attributes related to geographical growing regions in red-fleshed kiwifruit by data fusion of electronic nose and computer vision systems
Abstract The ability of a data fusion system composed of a computer vision system (CVS) and an electronic nose (e-nose) was evaluated to predict key physiochemical attributes and distinguish red-fleshed kiwifruit produced in three distinct regions in northern Iran. Color and morphological features f...
Main Authors: | Mojdeh Asadi, Mahmood Ghasemnezhad, Adel Bakhshipour, Jamal-Ali Olfati, Mohammad Hossein Mirjalili |
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Format: | Article |
Language: | English |
Published: |
BMC
2024-01-01
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Series: | BMC Plant Biology |
Subjects: | |
Online Access: | https://doi.org/10.1186/s12870-023-04661-6 |
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