Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques

Intelligent detection and waste control of hawthorn fruit based on ripening level using machine vision system and deep learning techniques

Increasing marketability and waste management of agricultural products require quality assessment. Meanwhile, their marketability is largely affected by their shapes and overall appearance. Deep Learning (DL) has gained traction as a leading tool for computer vision tasks involving image detection a...

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Bibliographic Details
Main Authors: Rahim Azadnia, Saman Fouladi, Ahmad Jahanbakhshi
Format: Article
Language:English
Published: Elsevier 2023-03-01
Series:Results in Engineering
Subjects:
Fruit classification
Waste management
Machine learning
Convolutional neural networks
Data augmentation
Online Access:http://www.sciencedirect.com/science/article/pii/S259012302300018X

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