Potato Plant Disease Detection and Classification for Improved Agriculture-Reference-Cited by-同舟云学术

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Potato Plant Disease Detection and Classification for Improved Agriculture

Published:2023-12-11 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference on Automation, Computing and Renewable Systems (ICACRS)
language:
Short-container-title:

Author:

Chaudary Sarthak¹,Bakshi Khushi¹,Iniyan S.²

Affiliation:

1. SRM Institute of Science and Technolgy, Kaatankulathur,Department of Computer Science and Engineering,Chennai,Tamilnadu,India

2. SRM Institute of Science and Technolgy, Kaatankulathur,School of Computing,Department of Computing Technologies,Chennai,Tamilnadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10404046/10404076/10404654.pdf?arnumber=10404654

Reference28 articles.

1. Plant Disease Detection Using Image Processing and Machine Learning;Kulkarni,2021

2. Using Deep Learning for Image-Based Plant Disease Detection

3. An advanced deep learning models-based plant disease detection: A review of recent research

4. Plant Disease Identification Using Shallow Convolutional Neural Network

5. Multi-resolution analysis and deep neural network architecture based hybrid feature extraction technique for plant disease identification and severity estimation

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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