Estimation of rice milling degree using image processing and Adaptive Network Based Fuzzy Inference System (ANFIS)

Proceedings of 2011 2nd International Conference on Instrumentation Control and Automation, ICA 2011

Volumn , Issue , 2011, Pages 98-103

  Shiddiq, Deden M F ^a   Nazaruddin, Yul Y ^a   Muchtadi, Farida I ^a   Raharja, Sapta ^b  

^a BANDUNG INSTITUTE OF TECHNOLOGY   (Indonesia)

^b BOGOR AGRICULTURAL UNIVERSITY   (Indonesia)

Author keywords

ANFIS; color system; image processing; Rice milling degree; Rice quality

Indexed keywords

ADAPTIVE NETWORK BASED FUZZY INFERENCE SYSTEM; ANFIS; ANFIS MODEL; AVERAGE ERRORS; COLOR ANALYSIS; COLOR SYSTEM; DEGREE MEASUREMENTS; FLATBED SCANNERS; INDONESIA; MEASUREMENT SYSTEM; MILLED RICE; MILLING PROCESS; NATIONAL STANDARD; RICE MILLING DEGREE; RICE SAMPLES;

ADAPTIVE CONTROL SYSTEMS; FUZZY SYSTEMS; IMAGE PROCESSING; MEASUREMENTS;

MILLING (MACHINING);

EID: 84857204585     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICA.2011.6130137     Document Type: Conference Paper

References (10)

1. Yadav, B.K, Jindal, V.K., "Monitoring milling quality of rice by image analysis", Computers and Electronics in Agriculture, pp. 19-33, 2001
2. M. Wan, "Automatic grain quality inspection with learning machine", Crop Science, pp. 230-240,2007
3. Hwang, S., Lin, T., "Analysis of moisture distribution in rice kernels using magnetic resonance imaging", American Society of Agricultural and Biological Engineers (ASABE ) Annual Meeting, 2004
4. Fant,E., Casady,W., Goh,D., Siebenmorgen,T., "Grey-scale intensity as a potential measurement for degree of rice milling", Journal of Agricultural Engineering Research, Vol. 58, pp. 89-97,1994
5. Liu, W., Tao, Y, Chen, H., Siebenmorgen, T., "Digital image analysis method for rapid measurement of rice degree of milling", Cereal chemistry , pp. 380-385,2005
6. Leon, K., Mery, D., Pedreschi, F.,"Color measurement in L*a*b* units from RGB digital images", Food research international, pp. 110-116, 2005
7. Yoshioka, Y, Iwata, H., Tabata, M., Ninomiya, S., Ohsawa, R., "Chalkiness in rice: potential for evaluation with image analysis, Crop Science, pp. 2113-2120, 2004 978-1-4577-1460-3/11/$26.00 ©2011 IEEE
8. Wan, P., Changjiang, L, "An inspection method of rice milling degree based on machine vision and gray-gradient co-ccurrence matrix", International Conference on Computer and Computing Technologies in Agricultures, pp. 195-202,2010.
9. l. lang. "ANFIS adaptive-network-based fuzzy inference systems", IEEE Trans. Systems, Man Cybernetics, pp. 665-685, 1993.
10. T. Takagi and M. Sugeno, "Fuzzy identification of systems and its applications to modeling and control", IEEE Trans. Systems, Man, and Cybernetics, vol. 15,no. 1, pp. 116-132, 1985.