Leveraging Deep Belief Networks and Multi-Class Support Vector Machine for Nutritional Deficiency Identification in Grape Plant Leaves-Reference-Cited by-同舟云学术

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Leveraging Deep Belief Networks and Multi-Class Support Vector Machine for Nutritional Deficiency Identification in Grape Plant Leaves

Published:2023-11-22 Issue: Volume: Page:1063-1068
ISSN:
Container-title:2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA)
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Author:

Kiran P¹,Saikiran N²,Srilatha D³,Rao K Venkateswara⁴,Rayudu K M⁵,Mounika Rudrapati⁶

Affiliation:

1. Madanapalle Institute of Technology & Science (A),Dept. of CSE (AI),Madanapalle,Andhra Pradesh,India

2. Madanapalle Institute of Technology & Science (A),Dept. of CST,Madanapalle,Andhra Pradesh,India

3. Vasi Reddy Venkatadri Institute of Technology,Department of EEE,Namburu,India,522508

4. Vignan's Lara Institute of Technology & Science,Department of CSE,Vadlamudi,India

5. QIS College of Engineering and Technology,Dept. of Data Science,Ongole,India

6. Malla Reddy Engineering College (A),Department of CSE,Maisammaguda,Telangana,India,500100

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10394672/10394681/10395807.pdf?arnumber=10395807

Reference15 articles.

1. A Comprehensive Analysis of Machine Learning and Deep Learning Approaches towards IoT Security

2. Support vector machine based disease classification model employing hasten eagle Cuculidae search optimization

3. Artificial Neural Network Based Effective Detection of Breast Cancer By Using Mammogram Data

4. A Comprehensive Review on Deep Learning and Machine Learning Approaches for Tomato Leaf Disease Identification

5. A Study on using Convolution Neural Networks to Predict Nitrogen Deficiency in Rice Plants

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