Development of Tomato Leaf Disease Prediction System to the Farmers by using Artificial Intelligent Network

Author:

Sudar K. Muthamil1,Nagaraj P.1,Prakash Bhanu1,Reddy M. Madhusudhan1,Mallikarjuna Naidu M.1,Kumar Hemanth1

Affiliation:

1. Kalasalingam Academy of Research and Education,Department of Computer Science and Engineering

Publisher

IEEE

Cited by 12 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. Traffic Detection and Enhancing Traffic Safety: YOLO V8 Framework and OCR for Violation Detection Using Deep Learning Techniques;2024 International Conference on Science Technology Engineering and Management (ICSTEM);2024-04-26

2. A CNN Method Based Predictive Model for Tomato Leaf Disease Prediction;2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS);2023-11-01

3. Classification of Weeds Detection Control Management Using Artificial and Deep Convolutional Neural Networks;2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS);2023-03-17

4. Image Quality Enhancement using CLAHlet RetiGaussian Filter for Maize Leaf Images;2023-02-10

5. Particle Swarm Optimization based Detection of Diabetic Retinopathy using a Novel Deep CNN;2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS);2023-02-02

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