Severity-Level Assessment of Groundnut Leaf Diseases: A Federated Learning and CNN Approach-Reference-Cited by-同舟云学术

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Severity-Level Assessment of Groundnut Leaf Diseases: A Federated Learning and CNN Approach

Published:2023-10-06 Issue: Volume: Page:
ISSN:
Container-title:2023 4th IEEE Global Conference for Advancement in Technology (GCAT)
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Author:

Jindal Varun¹,Kukreja Vinay¹,Mehta Shiva¹,Bordoloi Dibyahash²,Singh Vijay³

Affiliation:

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

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

3. Graphic Era Deemed to be University,Computer Science and Engineering,Dehradun,Uttarakhand,India,248002

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10353069/10353233/10353531.pdf?arnumber=10353531

Reference16 articles.

1. Segmentation of Rice Seedling using Deep Learning Algorithm

2. Quality Classification of Dragon Fruits Based on External Performance Using a Convolutional Neural Network

3. Design and Evaluation of a PBL-Based Course in Analog Electronics

4. Rice Leaf blight Disease detection using multi-classification deep learning model

5. Exploring the Potential of Convolutional Neural Networks in Automatic Diagnosis of Dragon Fruit Diseases from Plant Photographs

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