Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot-Reference-Cited by-同舟云学术

Unveiling the Hidden Patterns: Deep Learning Approach for Early Detection and Severity Classification of Sugarcane Brown Spot

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:

Garg Shruti¹,Kukreja Vinay¹,Sharma Rishabh¹,Sharma Vikrant²,Aeri Manisha³

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/ielx7/10306338/10306339/10307945.pdf?arnumber=10307945

Reference16 articles.

1. Development of an Algorithm for Classifying Common Sugarcane Diseases in Thailand;lawanwong;Regional Conference on Electrical and Electronics Engineering,2022

2. Deep learning for identification of water deficits in sugarcane based on thermal images

3. Hatred and trolling detection transliteration framework using hierarchical LSTM in code-mixed social media text;s;Complex Intell Syst,2021

4. Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification

5. Sugar Cane Red Stripe Disease Detection using YOLO CNN of DL Technique;kumpala;Access Engineering,2022

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