Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning-Reference-Cited by-同舟云学术

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Predicting Agriculture Yields Based on Machine Learning Using Regression and Deep Learning

Published:2023 Issue: Volume:11 Page:111255-111264
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Sharma Priyanka¹^ORCID,Dadheech Pankaj¹^ORCID,Aneja Nagender²^ORCID,Aneja Sandhya³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Swami Keshvanand Institute of Technology, Management and Gramothan, Rajasthan, Jaipur, India

2. School of Digital Science, Univerisiti Brunei Darussalam, Gadong, BE, Brunei Darussalam

3. School of Computer Science and Mathematics, Marist College, Poughkeepsie, NY, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10271389.pdf?arnumber=10271389

Reference32 articles.

1. Prediction of Weather Forecast for Smart Agriculture supported by Machine Learning

2. Crop production rate estimation using parallel layer regression with deep belief network

3. Crop prediction based on soil and environmental characteristics using feature selection techniques

4. A one-layer recurrent neural network for pseudoconvex optimization subject to linear equality constraints;guo;IEEE Trans Neural Netw,2011

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