Saad, P. and Jamaludin, N.K. and Kamarudin, S. S. and Rusli, N. (2004) Rice yield classification using backpropagation network. Journal of ICT, 3 (1). pp. 67-81. ISSN 1675-414X
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Official URL: http://jict.uum.edu.my
Abstract
Among factors that affect rice yield are diseases, pests and weeds. It is intractable to model the correlation between plant diseases, pests and weeds on the amount of rice yield statistically and mathematically. In this study, a backpropagation network (BPN) is developed to classify rice yield based on the aforementioned factors in MUDA irrigation area Malaysia. The result of this study shows that BPN is able to classify the rice yield to a deviation of 0.03.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Backpropagation network, classification, rice yield, pests, diseases, and weeds |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| Divisions: | UNSPECIFIED |
| Depositing User: | Mrs. Norazmilah Yaakub |
| Date Deposited: | 05 Sep 2010 04:55 |
| Last Modified: | 05 Sep 2010 04:55 |
| URI: | https://repo.uum.edu.my/id/eprint/1043 |
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