Disease Recognition in ViticultureCNN-SVM Framework for Accurate Grapevine Disease Diagnosis-Reference-Cited by-同舟云学术

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Disease Recognition in ViticultureCNN-SVM Framework for Accurate Grapevine Disease Diagnosis

Published:2024-01-11 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 Fourth International Conference on Advances in Electrical, Computing, Communication and Sustainable Technologies (ICAECT)
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Author:

Rana Gautam¹,Singh Rahul²,Chauhan Rahul³,Singh Pokhariya Hemant⁴,Chhabra Amisha¹

Affiliation:

1. Chitkara University,VLSI Centre of Excellence, Chitkara University Institute of Engineering and Technology,Punjab,India

2. Chitkara University,Chitkara University Institute of Engineering and Technology,Punjab,India

3. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttarakhand,India

4. Graphic Era Deemed to be University,Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10468568/10468675/10469456.pdf?arnumber=10469456

Reference25 articles.

1. Grape Leaf Diseases Classification using Convolutional Neural Network

2. Comparison of Deep Neural Networks in Detecting Field Grapevine Diseases Using Transfer Learning

3. Early detection and identification of grape diseases using convolutional neural networks

4. Impact of n-butanol as an additive with eucalyptus biodiesel-diesel blends on the performance and emission parameters of the diesel engine

5. A survey on planar ultra-wideband antennas with band notch characteristics: Principle, design, and applications

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