Farmer Friendly Smart App for Pomegranate Disease Identification-Reference-Cited by-同舟云学术

Farmer Friendly Smart App for Pomegranate Disease Identification

Published:2022-10-13 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Edge Computing and Applications (ICECAA)
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Author:

Nirmal M. D.¹,Jadhav Pramod¹,Kadu N. B.¹

Affiliation:

1. Dr. A. P. J. Abdul Kalam University,Indore

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935819/9936051/09936185.pdf?arnumber=9936185

Reference15 articles.

1. A survey on deploying mobile deep learning applications: A systemic and technical perspective;wang;Digital Communications and Networks,2021

2. A Database of Leaf Images: Practice towards Plant Conservation with Plant Pathology;chouhan;Mendeley Data,2019

3. An evaluation of preprocessing techniques for text classification;kadhim;International Journal of Computer Science and Information Security (IJCSIS),2018

4. Effects of image size on deep learning;rukundo;Computer Vision and Pattern Recognition,2021

5. Rectified Linear Units Improve Restricted Boltzmann Machines;hinton;International Conference on International Conference on Machine Learning,2010

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1. Deep Learning Approaches for Plant Disease Management: A State-of-the-Art Analysis;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

2. Deep Learning-Based Approach for Pomegranate Fruit Bacterial Blight Disease Detection using Convolutional Neural Networks;2023 IEEE Fifth International Conference on Advances in Electronics, Computers and Communications (ICAECC);2023-09-07