Application of artificial neural network in predicting crop yield: a review

Agricultural system is very complex since it deals with large data situation which comes from a number of factors. A lot of techniques and approaches have been used to identify any interactions between factors that affecting yields with the crop performances. The application of neural network to the...

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Main Authors: Bejo, Siti Khairunniza, Mustaffha, Samihah, Wan Ismail, Wan Ishak
Format: Article
Language:English
Published: David Publishing Company 2014
Online Access:http://psasir.upm.edu.my/id/eprint/36505/
http://psasir.upm.edu.my/id/eprint/36505/1/Application%20of%20artificial%20neural%20network%20in%20predicting%20crop%20yield.pdf
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author Bejo, Siti Khairunniza
Mustaffha, Samihah
Wan Ismail, Wan Ishak
author_facet Bejo, Siti Khairunniza
Mustaffha, Samihah
Wan Ismail, Wan Ishak
author_sort Bejo, Siti Khairunniza
building UPM Institutional Repository
collection Online Access
description Agricultural system is very complex since it deals with large data situation which comes from a number of factors. A lot of techniques and approaches have been used to identify any interactions between factors that affecting yields with the crop performances. The application of neural network to the task of solving non-linear and complex systems is promising. This paper presents a review on the use of artificial neural network (ANN) in predicting crop yield using various crop performance factors. General overview on the application of ANN and the basic concept of neural network architecture are also presented. From the literature, it has been shown that ANN provides better interpretation of crop variability compared to the other methods.
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spelling upm-365052015-08-21T02:32:07Z http://psasir.upm.edu.my/id/eprint/36505/ Application of artificial neural network in predicting crop yield: a review Bejo, Siti Khairunniza Mustaffha, Samihah Wan Ismail, Wan Ishak Agricultural system is very complex since it deals with large data situation which comes from a number of factors. A lot of techniques and approaches have been used to identify any interactions between factors that affecting yields with the crop performances. The application of neural network to the task of solving non-linear and complex systems is promising. This paper presents a review on the use of artificial neural network (ANN) in predicting crop yield using various crop performance factors. General overview on the application of ANN and the basic concept of neural network architecture are also presented. From the literature, it has been shown that ANN provides better interpretation of crop variability compared to the other methods. David Publishing Company 2014-01 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/36505/1/Application%20of%20artificial%20neural%20network%20in%20predicting%20crop%20yield.pdf Bejo, Siti Khairunniza and Mustaffha, Samihah and Wan Ismail, Wan Ishak (2014) Application of artificial neural network in predicting crop yield: a review. Journal of Food Science and Engineering, 4 (1). pp. 1-9. ISSN 2159-5828; ESSN: 2164-5795 http://www.davidpublishing.com/show.html?15587
spellingShingle Bejo, Siti Khairunniza
Mustaffha, Samihah
Wan Ismail, Wan Ishak
Application of artificial neural network in predicting crop yield: a review
title Application of artificial neural network in predicting crop yield: a review
title_full Application of artificial neural network in predicting crop yield: a review
title_fullStr Application of artificial neural network in predicting crop yield: a review
title_full_unstemmed Application of artificial neural network in predicting crop yield: a review
title_short Application of artificial neural network in predicting crop yield: a review
title_sort application of artificial neural network in predicting crop yield: a review
url http://psasir.upm.edu.my/id/eprint/36505/
http://psasir.upm.edu.my/id/eprint/36505/
http://psasir.upm.edu.my/id/eprint/36505/1/Application%20of%20artificial%20neural%20network%20in%20predicting%20crop%20yield.pdf