Drone Technology Enabled Leaf Disease Detection and Analysis system for Agriculture Applications
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Publisher
IEEE
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http://xplorestaging.ieee.org/ielx7/9591657/9591622/09591837.pdf?arnumber=9591837
Cited by 11 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. Onion Leaf Disease Classification Using Machine Learning Techniques;2024 2nd International Conference on Sustainable Computing and Smart Systems (ICSCSS);2024-07-10
2. AI Driven Interactive Drone Agribot for Real Time Assistance for Small Scale Farmers;2024 International Conference on Smart Systems for Electrical, Electronics, Communication and Computer Engineering (ICSSEECC);2024-06-28
3. Wheat Plant Disease Detection Using CNN on Real-Time UAV Images;2023 IEEE 15th International Conference on Computational Intelligence and Communication Networks (CICN);2023-12-22
4. Low-Cost Produce Quality Monitoring at Scale: A Practical Re-purposing Framework for Pervasive Agriculture;Proceedings of the International Conference on the Internet of Things;2023-11-07
5. Ingeniería SolidariaResearch article. https://doi.org/10.16925/2357-6014.2023.03.03 1 Lovely Professional University, India Email: bhuvanpuri1199@gmail.com ORCID: https://orcid.org/0000-0002-3098-7892 2 Lovely Professional University, India Email: rameshwar.20345@lpu.co.in ORCID: https://orcid.org/0000-0002-5369-7433 A review on the role of IoT, ai, and blockchain in agriculture & crop diseases detection using a text mining approach;Ingenieria Solidaria;2023-09-15
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