Assessing the state of maturation of the pineapple in its perolera variety using computer vision techniques
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7318234/7330388/07330446.pdf?arnumber=7330446
Cited by 7 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 Systematic Literature Review on Artificial Intelligence and Explainable Artificial Intelligence for Visual Quality Assurance in Manufacturing;Electronics;2023-11-08
2. Innovative non-destructive technologies for quality monitoring of pineapples: Recent advances and applications;Trends in Food Science & Technology;2023-03
3. Recent advances in automatic feature detection and classification of fruits including with a special emphasis on Watermelon (Citrillus lanatus): A review;Neurocomputing;2023-03
4. Autonomous lemon grading system by using machine learning and traditional image processing;International Journal on Interactive Design and Manufacturing (IJIDeM);2022-05-29
5. Using deep learning to identify maturity and 3D distance in pineapple fields;Scientific Reports;2022-05-24
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