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...

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Asıl Yazarlar:	Mojdeh Asadi, Mahmood Ghasemnezhad, Adel Bakhshipour, Jamal-Ali Olfati, Mohammad Hossein Mirjalili
Materyal Türü:	Artigo
Dil:	Inglês
Baskı/Yayın Bilgisi:	BMC 2024-01-01
Seri Bilgileri:	BMC Plant Biology
Konular:	Image processing Machine learning Origin Physicochemical attributes Volatile Organic compounds
Online Erişim:	https://doi.org/10.1186/s12870-023-04661-6
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