ABSTRACT
In chocolate production, post-harvest procedure is one of the most critical factors. Fermentation is a vital procedure to consider since exact generation of acid contemplate to aroma and quality of the final product. This innovative study aims to classify the quality of the cacao beans after the post-harvest procedures. Classified sample beans from partner cacao trader were analyzed and became data sets of the device. Photographs are taken to the subjects and undergo image processing procedure then through k-Nearest Neighbors Algorithm (k-NN). Beans are classified to be well-fermented under fermentation and over-fermentation process. Function test and statistical analysis using confusion matrix revealed 97.22 percent accuracy in analyzing well-fermented beans, 92.59 percent accuracy in under fermented, 75 percent in over-fermented and 80 percent in analyzing unknowns. These results generated 92.50 percent overall accuracy of the device.
- Peace Equity Foundation Industry Study on Cacao {Online}, http://pef.phGoogle Scholar
- Bureau of Agricultural Statistics Website {Online}. Available: http://www.psa.phGoogle Scholar
- Quarmine, W., Haagsma, R., Sakyi-Dawson, O., Asante, F., Van Huis, A., and Obeng-Ofori, D. "Incentives for Cacao Beans Production in Ghana: Does Quality Matter?", NJAS-Wageningen Journal of Life Sciences, Pages 7--14, Sep. 2012.Google ScholarCross Ref
- Sunstar Davao Website. {Online}. Available: http://www.sunstar.com.phGoogle Scholar
- Philippines National Standard in Cacao Beans Specifications, PNS Annex A Page 9,2007Google Scholar
- Cocoa Beans: Chocolate and Cocoa Industry Quality Requirements. CAOBISCO/ECA/FCC std. 2016.Google Scholar
- Cacao Industry Development Association of Mindanao Inc. Website {Online}. Available: http://www.cidami.org.Google Scholar
- Guzman, J., and Peralta, E., Classification of Philippine Rice Grains Using Machine Vision and Artificial Neural Networks, World Conference on Agricultural Information and IT, pages 41--48, 2008Google Scholar
- Astika, W., Solahudin, M., Kurniawan, A. and Walandari, Y. "Determination of Cocoa Beans Quality with Image Processing and Artificial Neural Network", Proc. Asian Federation for Information Technology in Agriculture 2000.Google Scholar
- Aglibut J., Coching, M., Linsangan, N. and Torres, J., "Skin Disease Identification System using Gray Level Co-occurrence Matrix", International Conference on Computer and Automation Engineering 2017, Google ScholarDigital Library
- Silva, C. and Sonnadara, U. "Classification of Rice Grains Using Neural Networks", Proceedings of Technical Sessions, Institute of Physics 2013Google Scholar
- Majumdar, S. and Jayas, D. "Classification of cereal grains using machine vision: Morphology Models", Association of Society in Agricultural and biological Engineers"., vol. 43, pp. 6, 2000Google Scholar
- Pu, G., Yu, X., and Xi, F., "Identification of Varieties of Black Bean Using Ground Based Hyperspectral Imaging" National Center Biotechnology Information, pp 746--750, Mar. 2014.Google Scholar
- Olgun, M., Ozkan, K., Onarcan, A. and Koyuncu, O., "Wheat grain classification by Using Dense SIFT features with SVM Classifier", Computer and electronics in Agriculture, vol. 122 Issue, pp185--190, Mar. 2016. Google ScholarDigital Library
- Selda, J., Ellera, R., Cajayon, L. II, and Linsangan, N., "Plant Identification of Image Processing of Leaf Veins", Association of Computing Machinery, ICISPC, 2017 Google ScholarDigital Library
Index Terms
- Fermentation Level Classification of Cross Cut Cacao Beans Using k-NN Algorithm
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