Detection of Mulberry Ripeness Stages Using Deep Learning Models

Detection of Mulberry Ripeness Stages Using Deep Learning Models

Ripeness classification is one of the most challenging tasks in the postharvest management of mulberry fruit. The risks of microbial contamination and human error in manual sorting are significant; it may result in quality degradation and wasting of processed products. Due to advanced developments i...

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Bibliographic Details
Main Authors: Seyed-Hassan Miraei Ashtiani, Shima Javanmardi, Mehrdad Jahanbanifard, Alex Martynenko, Fons J. Verbeek
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
computer vision
online detection
ripening classification
transfer learning
Online Access:https://ieeexplore.ieee.org/document/9481231/

Internet

https://ieeexplore.ieee.org/document/9481231/

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