Effendi, E. and Ramli, R. and Ghani, J.A. (2011) Application of back propagation diagnostic model for fruit maturity classification: case Jatropha Curcas. Australian Journal of Basic and Applied Sciences, 5 (3). pp. 134-140.
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Abstract
Recently, studies on biodiesel alternative have attracted researchers to find another agricultural solution for bio energy. One of the alternatives is biodiesel from Jatropha curcas fruits. The quality of the fruit is largely depends on type of defects, skin color and size of the fruit. In this research, we develop an image recognition system to identify the level of maturity of Jatropha curcas fruit and classify them into various categories. A back propagation diagnosis model(BPDM) is adopted to recognize the image of the matured fruits. Color indices associated with image pixels are used as input. As a result, the developed BPMD can give 95% accuracy based on samples of twenty-seven images. It can be ascertained that our proposed BPDM can achieved its performance function
| Item Type: | Article |
|---|---|
| Author Affiliation: | Department of Mechanical and Materials Engineering, Faculty of Engineering and Built Environment, 34600 Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia |
| Subjects: | Plant Production Plant Production > Production Practices |
| Divisions: | Other Crops |
| Depositing User: | Mr T L Gautham |
| Date Deposited: | 20 Mar 2011 21:33 |
| Last Modified: | 20 Mar 2011 21:34 |
| Official URL: | http://www.insipub.com/ajbas/2011/134-140.pdf |
| URI: | http://eprints.icrisat.ac.in/id/eprint/1659 |
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