An Approach to Identify and Classify Agricultural Crop Diseases Using Machine Learning and Deep Learning Techniques-Reference-Cited by-同舟云学术

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An Approach to Identify and Classify Agricultural Crop Diseases Using Machine Learning and Deep Learning Techniques

Published:2023-03-01 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Emerging Smart Computing and Informatics (ESCI)
language:
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Author:

Ahmed Imtiaz¹,Habib Gousia¹,Yadav Pramod Kumar¹

Affiliation:

1. NIT Srinagar

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10099470/10099482/10099552.pdf?arnumber=10099552

Reference21 articles.

1. Blockchain Technology: Benefits, Challenges, Applications, and Integration of Blockchain Technology with Cloud Computing

2. Plant disease detection using machine learning approaches

3. A comprehensive review on detection of plant disease using machine learning and deep learning approaches

4. An Automated System for Early Identification of Diseases in Plant Through Machine Learning

5. Performance of deep learning vs machine learning in plant leaf disease detection

Cited by 3 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. Optimizing Agricultural Data Analysis Techniques through AI-Powered Decision-Making Processes;Applied Sciences;2024-09-07

2. Deep Machine Learning on Segmenting and Classifying Crop Images Taken by Unmanned Aerial Vehicle;2023 IEEE International Conference on Big Data (BigData);2023-12-15

3. Decentralized Pest Detection in Plants with Blockchain Integrated Machine Learning Models;2023 OITS International Conference on Information Technology (OCIT);2023-12-13

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