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Decision support system for greenhouse tomato yield prediction using artificial intelligence techniques
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Zhang, Fu, Ph.D., Iliescu, Daciana, Hines, Evor L., Leeson, Mark S., 1963- and Adams, S. R. (Steven R.) (2010) Decision support system for greenhouse tomato yield prediction using artificial intelligence techniques. In: Manos, Basil and Matsatsinis, Nikolaos and Paparrizos, Konstantinos and Papathanasiou, Jason, (eds.) Decision Support Systems in Agriculture, Food and the Environment. Hershey, PA, U.S.A.: IGI Global, pp. 155-172. ISBN 9781615208814
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Official URL: http://dx.doi.org/10.4018/978-1-61520-881-4.ch008
Abstract
This chapter introduces a decision support system which is capable of predicting the weekly yields of tomatoes in a greenhouse. The development of this system involves a set of Artificial Intelligence based techniques, namely Artificial Neural Networks (ANNs), Genetic Algorithms (GAs), and Grey System Theory (GST). The prediction was performed by an ANN using a set of optimised input variables, chosen from all available environmental and measured yield parameters. The reduction and optimisation of the inputs was done using either GAs or GST and compared in terms of the ANN’s performance. It was shown that the use of artificial intelligence based methods can offer a promising approach to yield prediction and compared favourably with traditional methods.
| Item Type: | Book Item |
|---|---|
| Subjects: | S Agriculture > SB Plant culture T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Divisions: | Faculty of Science > Life Sciences (2010- ) > Biological Sciences ( -2010) Faculty of Science > Engineering Faculty of Science > Life Sciences (2010- ) |
| Publisher: | IGI Global |
| Place of Publication: | Hershey, PA, U.S.A. |
| ISBN: | 9781615208814 |
| Book Title: | Decision Support Systems in Agriculture, Food and the Environment |
| Editor: | Manos, Basil and Matsatsinis, Nikolaos and Paparrizos, Konstantinos and Papathanasiou, Jason |
| Date: | 15 June 2010 |
| Number of Pages: | 18 |
| Page Range: | pp. 155-172 |
| Identification Number: | 10.4018/978-1-61520-881-4.ch008 |
| Status: | Peer Reviewed |
| Publication Status: | Published |
| Access rights to Published version: | Restricted or Subscription Access |
| URI: | http://wrap.warwick.ac.uk/id/eprint/46526 |
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