Automatic Defect Detection of Fruits through Image Processing and Machine Learning Algorithms

Author:

Kameli Vahid,Grailu Hadi,Shafiei Ashkan

Publisher

Elsevier BV

Subject

General Earth and Planetary Sciences,General Environmental Science

Reference18 articles.

1. Row-level algorithm to improve real-time performance of glass tube defect detection in the production phase;G A De Vitis;IET Image Processing,2020

2. Fabric defect detection using computer vision techniques: a comprehensive review;A Rasheed;Mathematical Problems in Engineering,2020

3. Synthetic data augmentation for surface defect detection and classification using deep learning;S Jain;Journal of Intelligent Manufacturing,2020

4. Disease detection in fruits using image processing;S Malathy;2021 6th International Conference on Inventive Computation Technologies (ICICT),2021

5. Fruit detection and positioning technology for a Camellia oleifera C. Abel orchard based on improved YOLOv4-tiny model and binocular stereo vision;Yunchao Tang;Expert systems with applications,2023

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