Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification-Reference-Cited by-同舟云学术

Deep Learning Based Sugarcane Downy Mildew Disease Detection Using CNN-LSTM Ensemble Model for Severity Level Classification

Published:2023-07-06 Issue: Volume: Page:
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Container-title:2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)
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Author:

Dhawan Nikhil¹,Kukreja Vinay¹,Sharma Rishabh¹,Vats Satvik²,Verma Aditya³

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10306338/10306339/10307715.pdf?arnumber=10307715

Reference18 articles.

1. Detecting Sugarcane Diseases through Adaptive Deep Learning Models of Convolutional Neural Network

2. Sugarcane Disease Detection Using CNN-DL Method;upadhye;International Conference on Emerging Research in Electronics Computer Science and Technology,2022

3. Research Paper On Sugarcane Diseaese Detection Model;kumar;Turkish Journal of Computer and Mathematics Education,2021

4. Sugarcane Classification for On-Site Assessment Using Computer Vision

5. Sugarcane Disease Recognition using DL;militante;IEEE Eurasia Conference on IOT Communication and Engineering,2019

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