Detection, categorization and suggestion to cure infected plants of tomato and grapes by using OpenCV framework for andriod environment-Reference-Cited by-同舟云学术

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Detection, categorization and suggestion to cure infected plants of tomato and grapes by using OpenCV framework for andriod environment

Published:2017-04 Issue: Volume: Page:
ISSN:
Container-title:2017 2nd International Conference for Convergence in Technology (I2CT)
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Author:

Hase Anand K.,Aher Priyanka S.,Hase Sudeep K.

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8168943/8226083/08226270.pdf?arnumber=8226270

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. Leaf Disease Detection Using OpenCV And Deep Learning;2024 Sixth International Conference on Computational Intelligence and Communication Technologies (CCICT);2024-04-19

2. Grape Leaf Disease Recognition: A Deep Learning and Machine Learning Techniques Overview;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

3. Tomato Plant Disease Classification Using Deep Learning Architectures: A Review;Proceedings of Second International Conference on Advances in Computer Engineering and Communication Systems;2022

4. Design of an iOS App Architecture for Cotton Plant Disease Detection Using Artificial Intelligence and Machine Learning Techniques;Proceedings of Data Analytics and Management;2022

5. Entropy‐controlled deep features selection framework for grape leaf diseases recognition;Expert Systems;2020-05-13

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