Crop prediction and Plant Disease Detection using IoT and Machine learning

Author:

Mathew Juby1,Joy Albert1,Sasi Dishna1,Jiji Jevin1,John Jiya1

Affiliation:

1. Amal Jyothi College of Engineering,Department of Computer Science,Kanjirappally,Kerala,India

Publisher

IEEE

Reference16 articles.

1. Food and Agricultural Organization;The State of Food and Agriculture,2019

2. Study of Variants of Extreme Learning Machine (ELM) Brands and its Performance Measure on Classification Algorithm;samuel;Journal of Soft Computing Paradigm (JSCP),2021

3. Survey on evolving deep learning neural network archi-tectures;abul;Journal of Artificial Intelligence,2019

4. Disease Prediction of Paddy Crops Using data Mining and Image Processing Techniques;sushmita;IJAREEIE,2016

5. Crop Diseases Detection with preventive measures Using Image Processing;patil;International Journal of Engineering Research and Applications (IJERA),2015

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3. Fusing Deep CNN and Local Binary Pattern for Accurate Plant Disease Diagnosis;2023 Annual International Conference on Emerging Research Areas: International Conference on Intelligent Systems (AICERA/ICIS);2023-11-16

4. Enhancing Crop Productivity: Integrated Solutions for Crop Yield, Crop Recommendation, and Crop Disease Management;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

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