Growing Greener: Exploring the Creative Potential of Deep Learning in Agricultural Disease Control-Reference-Cited by-同舟云学术

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Growing Greener: Exploring the Creative Potential of Deep Learning in Agricultural Disease Control

Published:2024-07-04 Issue: Volume:7 Page:1-6
ISSN:
Container-title:2024 International Conference on Signal Processing, Computation, Electronics, Power and Telecommunication (IConSCEPT)
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Author:

Kiran Ajmeera¹,Rahman Syed Ziaur²,Sreelatha P.³,Dhanasekaran S.⁴,Ayyasamy Ramesh Kumar⁵,Swetha Devulapally⁶

Affiliation:

1. MLR Institute of Technology,Department of Computer Science and Engineering,Hyderabad,India

2. Majan University College,Faculty of Information Technology,Sultanate of Oman

3. S.V. Arts college (TTD),Tirupati,A.P,India

4. Kalasalingam Academy of Research and Education (Deemed to be University),Department of Information Technology,Tamilnadu,India

5. Universiti Tunku Abdul Rahman (UTAR),Faculty of Information and Communication Technology,Kampar,Malaysia

6. Vaagdevi Engineering College,Department of Computer Science and Engineering,Bolli Kunta,Telangana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10625767/10627770/10627795.pdf?arnumber=10627795

Reference25 articles.

1. Image-based Plant Diseases Detection using Deep Learning

2. Construction of deep learning-based disease detection model in plants

3. Aquatic Plant Disease Detection Using Deep Learning

4. Automatic Plant Disease Detection Using Deep Learning

5. A Review on Coconut Tree and Plant Disease Detection using various Deep Learning and Convolutional Neural Network Models

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