Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models

Bibliographic Details
Main Authors: William W. Guo, Heru Xue
Format: Article
Language:English
Published: Hindawi Limited 2014-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2014/857865
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spelling doaj-5c46e3cfd5f24319876df0024c02f9ab2020-11-24T23:23:07ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472014-01-01201410.1155/2014/857865857865Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal ModelsWilliam W. Guo0Heru Xue1School of Engineering and Technology, Central Queensland University, Rockhampton, QLD 4702, AustraliaCollege of Computer & Information Engineering, Inner Mongolia Agricultural University, Hohhot, Inner Mongolia 010018, Chinahttp://dx.doi.org/10.1155/2014/857865
collection DOAJ
language English
format Article
sources DOAJ
author William W. Guo
Heru Xue
spellingShingle William W. Guo
Heru Xue
Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models
Mathematical Problems in Engineering
author_facet William W. Guo
Heru Xue
author_sort William W. Guo
title Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models
title_short Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models
title_full Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models
title_fullStr Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models
title_full_unstemmed Crop Yield Forecasting Using Artificial Neural Networks: A Comparison between Spatial and Temporal Models
title_sort crop yield forecasting using artificial neural networks: a comparison between spatial and temporal models
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2014-01-01
url http://dx.doi.org/10.1155/2014/857865
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AT heruxue cropyieldforecastingusingartificialneuralnetworksacomparisonbetweenspatialandtemporalmodels
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