UniMAP Library Digital Repository JSPUI
UniMAP Library Digital Repository preserves and enables easy and open access to all types of digital content including text, images, moving images, mpegs and data sets
Learn More
Please use this identifier to cite or link to this item:
http://dspace.unimap.edu.my:80/xmlui/handle/123456789/6424| Title: | Backpropagation algorithm for rice yield prediction |
| Authors: | Puteh, Saad Mohamed Rizon, Mohamed Juhari Nor Khairah, Jamaludin Siti Sakira, Kamarudin Aryati, Bakri Nursalasawati, Rusli |
| Keywords: | BP Rice yield prediction Improved unit range Rice yield Neural networks (Computer science) Back propagation Algorithms Computer programming |
| Issue Date: | 28-Jan-2004 |
| Publisher: | Oita University |
| Citation: | p.148-151 |
| Series/Report no.: | Proceedings of the 9th International Symposium on Artificial Life and Robotics (AROB 9th '04) |
| Abstract: | Parameters that affect rice yield are many, for instance diseases, pests and weeds. Statistical or mathematical model is unable to describe the correlation between plant diseases, pests and weeds on the amount of rice yield. In this study, a Backpropogation (BP) algorithm is utilized to develop a neural network model to predict rice yield based on the aforementioned factors in MUDA irrigation area, Malaysia. The result of this study shows that the BP algorithm is able to predict the rice yield to a deviation of less than 0.21. |
| Description: | Organized by Oita University, 28th - 30th January 2004 at Beppu, Oita, Japan. |
| URI: | http://dspace.unimap.edu.my/123456789/6424 |
| Appears in Collections: | Conference Papers Mohd. Rizon Mohamed Juhari, Prof. Ir. Dr. |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| Backpropagation Algorithm For Rice Yield Prediction.pdf | Access is limited to UniMAP community. | 2.29 MB | Adobe PDF | View/Open |
Items in UniMAP Library Digital Repository are protected by copyright, with all rights reserved, unless otherwise indicated.