Potato Leaf Disease Detection Using Machine Learning Techniques for Precision Agriculture-Reference-Cited by-同舟云学术

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Potato Leaf Disease Detection Using Machine Learning Techniques for Precision Agriculture

Published:2023-11-22 Issue: Volume: Page:
ISSN:
Container-title:2023 Seventh International Conference on Image Information Processing (ICIIP)
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Author:

Gupta Urshita¹,Vijh Surbhi²,Kumar Sumit¹,Roy Nihar Ranjan²,Jodan Jitendra Singh³

Affiliation:

1. Amity University,Department of Computer Science & Engineering,Noida,India

2. Sharda University,Department of Computer Science & Engineering,Greater Noida,India

3. Intelligence Amity University,Department of Artificial,Noida,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10537602/10537618/10537780.pdf?arnumber=10537780

Reference26 articles.

1. White Vegetables: A Forgotten Source of Nutrients: Purdue Roundtable Executive Summary

2. Vegetable Cost Metrics Show That Potatoes and Beans Provide Most Nutrients Per Penny

3. Early blight of potato;Hausladen,2004

4. Plant disease risk and grower–agronomist perceptions and relationships: An analysis of the UK potato and wheat sectors

5. Evaluation of mosaic symptom expression as an indirect measure of the incidence of PVY° in potato cv. Shepody

Cited by 1 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. A Comprehensive Review of Convolutional Neural Networks based Disease Detection Strategies in Potato Agriculture;Potato Research;2024-08-26

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