Plant Disease Detection And Prevention Using Deep Learning-Reference-Cited by-同舟云学术

Plant Disease Detection And Prevention Using Deep Learning

Published:2023-03-17 Issue: Volume: Page:
ISSN:
Container-title:2023 9th International Conference on Advanced Computing and Communication Systems (ICACCS)
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Author:

Shambharkar Prashant Giridhar¹,Sharma Saurabh¹

Affiliation:

1. Delhi Technological University,Department of Computer Science and Engineering,New Delhi,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10112659/10112660/10112733.pdf?arnumber=10112733

Reference24 articles.

1. Identification of plant leaf diseases using a nine-layer deep convolutional neural network;geetharamani;Computers & Electrical Engineering,2019

2. Deep Learning Based on NASNet for Plant Disease Recognition Using Leave Images

3. The history began from alexnet: A comprehensive survey on deep learning approaches;alom,2018

4. Classification of cotton leaf spot diseases using image processing edge detection techniques

5. Xception: Deep learning with depthwise separable convolutions;chollet;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

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1. Anthracnose Detection and Classification in Chilli Leaves Using Mobile Net: UAV Images;2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

2. Enhancing Plant Leaf Disease Classification Performance Through EfficientNetB3 and Hyperparameter Optimization;2023 International Conference on Electrical, Electronics, Communication and Computers (ELEXCOM);2023-08-26