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http://dspace.unimap.edu.my:80/xmlui/handle/123456789/6973| Title: | Rice yield classification using Backpropagation Network |
| Authors: | Puteh, Saad Nor Khairah, Jamaludin Siti Sakira, Kamrudin Aryati, Bakri Nursalasawati, Rusli |
| Keywords: | Backpropagation network Classification Rice yield Pests Diseases Weeds Neural networks (Computer science) Computer programming Back propagation |
| Issue Date: | 2004 |
| Publisher: | Penerbit Universiti Utara Malaysia |
| Citation: | Journal of ICT, vol.3(1), 2004, pages 67-81. |
| Abstract: | Among factors that affect rice yield area 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 showns that BPN is able to classify the rice yield to a deviation of 0.03. |
| Description: | Link to publisher's homepage at www.jict.uum.edu.my |
| URI: | http://dspace.unimap.edu.my/123456789/6973 |
| Appears in Collections: | School of Computer and Communication Engineering (Articles) |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Rice Yield Classification Using Backpropagation Network.pdf | Access is limited to UniMAP community. | 5.59 MB | Adobe PDF | View/Open |
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