Identification of Defects in Fruits Using Digital Image Processing
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ISROSET: International Scientific Research Organization for Science, Engineering and Technology
Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. A New Image Processing System to Diagnose the Orange Fruit Disease;2023 10th International Conference on Internet of Things: Systems, Management and Security (IOTSMS);2023-10-23
2. Comparison of pyrus fruit classification using K-Nearest Neighbor (KNN) and Adaptive Neuro Fuzzy Inference System (ANFIS) algorithms;AIP Conference Proceedings;2023
3. Identification of External Defects on Fruits Using Deep Learning;Pattern Recognition and Image Analysis;2022
4. Monochrome Computer Vision for Detecting Quality Defects of Fruits and Vegetables;Nondestructive Quality Assessment Techniques for Fresh Fruits and Vegetables;2022
5. Defects Detection in Fruits and Vegetables Using Image Processing and Soft Computing Techniques;Advances in Intelligent Systems and Computing;2020-11-17
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