Deep Learning Meets Agriculture: A Faster RCNN Based Approach to pepper leaf blight disease Detection and Multi-Classification-Reference-Cited by-同舟云学术

Deep Learning Meets Agriculture: A Faster RCNN Based Approach to pepper leaf blight disease Detection and Multi-Classification

Published:2023-05-26 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference for Emerging Technology (INCET)
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Author:

Sharma Rishabh¹,Kukreja Vinay²,Bordoloi Dibyahash²

Affiliation:

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169136/10169900/10170692.pdf?arnumber=10170692

Reference16 articles.

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2. An Efficient Agriculture Plant Disease Diagnosis and Classification Using Handcrafted Features with Optimal Deep Belief Network Model;rakesh;J Comput Theor Nanosci,2021

3. Feature Fusion for Leaf Image Classification

4. A novel approach for rice plant diseases classification with deep convolutional neural network;upadhyay;Int J Inf Technol,2021

5. Plant Disease Detection Using Convolutional Neural Networks

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