Código QR (código de barras bidimensional)

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...

תיאור מלא

שמור ב:
Principais autores: Mojdeh Asadi, Mahmood Ghasemnezhad, Adel Bakhshipour, Jamal-Ali Olfati, Mohammad Hossein Mirjalili
פורמט: Artigo
שפה:Inglês
יצא לאור: BMC 2024-01-01
סדרה:BMC Plant Biology
נושאים:
Image processing
Machine learning
Origin
Physicochemical attributes
Volatile Organic compounds
גישה מקוונת:https://doi.org/10.1186/s12870-023-04661-6
תגים: הוספת תג
אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!

פריטים דומים