A Study on using Convolution Neural Networks to Predict Nitrogen Deficiency in Rice Plants-Reference-Cited by-同舟云学术

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

Published:2022-03-16 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electronics and Renewable Systems (ICEARS)
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Author:

Baranidharan B.¹,Srivastava Sparsh¹,Khatoria Raghav¹

Affiliation:

1. SRM Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9751779/9751722/09752017.pdf?arnumber=9752017

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4. Xception: Deep learning with depthwise separable convolutions;chollet;Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition,2017

5. An Infant Cry Recognition based on Convolutional Neural Network Method

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1. Leveraging Deep Belief Networks and Multi-Class Support Vector Machine for Nutritional Deficiency Identification in Grape Plant Leaves;2023 7th International Conference on Electronics, Communication and Aerospace Technology (ICECA);2023-11-22

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