Integration of Support Vector Machine and Deep Convolutional Neural Network for Rice Crop Diseases Identification-Reference-Cited by-同舟云学术

Integration of Support Vector Machine and Deep Convolutional Neural Network for Rice Crop Diseases Identification

Published:2023-09-20 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Smart Electronics and Communication (ICOSEC)
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Author:

Pradeepa M.¹,Kumaraperumal S.²,Kharade Jyoti³,Chandan Radha Raman⁴

Affiliation:

1. School of Information Technology and Engineering, Vellore Institute of Technology,Vellore,Tamil Nadu,India,632014

2. Rajalakshmi School of Business,Department of Marketing,Chennai,Tamil Nadu,India,600124

3. Bharati Vidyapeeth's Institute of Management and Information Technology,Navi Mumbai,India

4. School of Management Sciences(SMS),Department of Computer Science,Varanasi,Uttar Pradesh,India,221011

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10275782/10275807/10276144.pdf?arnumber=10276144

Reference19 articles.

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3. Microbial load on fresh peaches and hand gloves collected from selected packing facilities in Georgia

4. Abstracts from the 2020 Annual Meeting of the Society of General Internal Medicine

5. Crop-water assessment in Citrus (Citrus sinensis L.) based on continuous measurements of leaf-turgor pressure using machine learning and IoT

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