Red Rot Disease Prediction in Sugarcane Using the Deep Learning Approach-Reference-Cited by-同舟云学术

Red Rot Disease Prediction in Sugarcane Using the Deep Learning Approach

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:2023 2nd International Conference for Innovation in Technology (INOCON)
language:
Short-container-title:

Author:

Tanwar Vishesh¹,Lamba Shweta¹,Sharma Bhanu¹,Sharma Avinash²

Affiliation:

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

2. MM Engg college, Maharishi Markandeshwar (Deemed to be University),Dept. of CSE,Mullana,Haryana,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10100964/10100966/10101147.pdf?arnumber=10101147

Reference21 articles.

1. A novel hybrid CNN-SVM classifier for recognizing handwritten digits;niu;Pattern Recognit,2012

2. Hybrid CNN-SVM Classifier for Handwritten Digit Recognition

3. Rice Disease Identification and Classification by Integrating Support Vector Machine with Deep Convolutional Neural Network;hasan;1st International Conference on Advances in Science Engineering and Robotics Technology 2019 ICASERT 2019,2019

4. Image recognition of four rice leaf diseases based on deep learning and support vector machine

5. A Survey of Convolutional Neural Networks: Analysis, Applications, and Prospects;li;IEEE Trans Neural Netw Learn Syst,2021

Cited by 17 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Classification of Cauliflower Leaf Diseases was Accomplished with a High Degree of Accuracy using the CNN-SVM Approach;2023 4th International Conference on Intelligent Technologies (CONIT);2024-06-21

2. Innovative Fusion for Sunflower Leaf Disease Identification: CNN and Random Forest Strategies;2024 IEEE AITU: Digital Generation;2024-04-03

3. Sugarcane Severity Assessment with Deep Learning and Random Forest: A Multi-class Approach;2024 11th International Conference on Signal Processing and Integrated Networks (SPIN);2024-03-21

4. Enhancing Rice Leaf Disease Classification: A CNN-SVM Approach;2024 International Conference on Emerging Smart Computing and Informatics (ESCI);2024-03-05

5. Smart Disease Detection: Unifying CNNs and Random Forests for Accurate Pear Leaf Classification;2024 3rd International Conference for Innovation in Technology (INOCON);2024-03-01