Identification of rice seed varieties using neural network

Journal of Zhejiang University: Science

Volumn 6 B, Issue 11, 2005, Pages 1095-1100

  Liu, Zhao Yan ^a   Cheng, Fang ^a   Ying, Yi Bin ^a   Rao, Xiu Qin ^a  

^a ZHEJIANG UNIVERSITY   (China)

Author keywords

Classification; Digital image processing; Machine vision; Neural network; Rice seeds

Indexed keywords

ALGORITHMS; COMPUTER VISION; HULLS (SEED COVERINGS); IDENTIFICATION (CONTROL SYSTEMS); IMAGE PROCESSING; MATHEMATICAL MODELS; MORPHOLOGY; NEURAL NETWORKS;

CLASSIFICATION; DIGITAL IMAGE PROCESSING; DISCRIMINANT ANALYSIS; MACHINE VISION; MORPHOLOGICAL FEATURES; RICE SEEDS;

SEED;

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; CLUSTER ANALYSIS; COLORIMETRY; COMPUTER ASSISTED DIAGNOSIS; HISTOLOGY; IMAGE ENHANCEMENT; INFORMATION RETRIEVAL; METHODOLOGY; PHOTOGRAPHY; PLANT SEED; REPRODUCIBILITY; RICE; SENSITIVITY AND SPECIFICITY; SPECIES DIFFERENCE;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; CLUSTER ANALYSIS; COLORIMETRY; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; INFORMATION STORAGE AND RETRIEVAL; ORYZA SATIVA; PATTERN RECOGNITION, AUTOMATED; PHOTOGRAPHY; REPRODUCIBILITY OF RESULTS; SEEDS; SENSITIVITY AND SPECIFICITY; SPECIES SPECIFICITY;

EID: 30544437931     PISSN: 10093095     EISSN: None     Source Type: Journal    
DOI: 10.1631/jzus.2005.B1095     Document Type: Article

References (18)

1. Draper, S.R., Travis, A.J., 1984. Preliminary observations with a computer based system for analysis of the shape of seeds and vegetative structures. J. Nat. Inst. Agric. Botany, 16(3): 387-395.
2. Hawk, A.L., Kaufmann, H.H., Watson, C.A., 1970. Reflectance characteristics of various grain. Cereal Sci. Today, 15(11): 381-384.
3. Huang, X.Y., Li, J., Jiang, S., 2004. Study on identification of rice varieties using computer vision. Journal of Jiangsu University (Natural Science Edition), 25(2): 102-104 (in Chinese).
4. Keefe, P.D., 1992. A dedicated wheat grading system. Plant Varieties and Seeds, 5: 27-33.
5. Lai, F.S., Zayas, I., Pomeranz, Y., 1986. Application of pattern recognition techniques in the analysis of cereal grains. Cereal Chemistry, 63(2): 168-174.
6. Luo, X., Jayas, D.S., Symons, S.J., 1999. Identification of damaged kernels in wheat using a color machine vision. Journal of Cereal Science, 30(1): 45-59.
7. Majumdar, S., Jayas, D.S., 2000. Classification of cereal grains using machine vision. IV. Combined morphology, color and texture models. Trans. ASAE, 43(6): 1689-1694.
8. Majumdar, S., Jayas, D.S., Hehn, J.L., Bulley, N.R., 1996. Classification of various grains using optical properties. Canadian Agric. Eng., 38(2): 139-144.
9. Myers, D.G., Edsall, K.J., 1989. The application of image processing techniques to the identification of Australian wheat varieties. Plant Var. and Seeds, 2(2): 109-116.
10. Neuman, M., Sapirstein, H.D., Shwedyk, E., Bushuk, W., 1987. Discrimination of wheat class and variety by digital image analysis of whole grain samples. J. Cereal Sci., 6: 125-132.
11. Neuman, M., Sapirstein, H.D., Shwedyk, E., Bushuk, W., 1989a. Wheat grain color analysis by digital image processing: I. Methodology. J. Cereal Sci., 10: 175-182.
12. Neuman, M., Sapirstein, H.D., Shwedyk, E., Bushuk, W., 1989b. Wheat grain color analysis by digital image processing: II. Wheat class determination. J. Cereal Sci., 10: 183-192.
13. Sapirstein, H.D., Neuman, M., Wright, E.H., Shwedyk, E., Bushuk, W., 1987. An instrumental system for cereal grain classification using digital image analysis. J. Cereal Sci., 6(1): 3-14.
14. Symons, S.J., Fulcher, R.G., 1988a. Determination of wheat kernel morphological variation by digital image analysis. I. Variation in Eastern Canadian milling quality wheats. J. Cereal Sci., 8(3): 211-218.
15. Symons, S.J., Fulcher, R.G., 1988b. Determination of wheat kernel morphological variation by digital image analysis. II. Variation in cultivars of soft white winter wheats. J. Cereal Sci., 8(3): 219-229.
16. Travis, A.J., Draper, S.R., 1985. A computer based system for the recognition of seed shape. Seed Sci. and Technol., 13: 813-820.
17. Zayas, I., Lai, F.S., Pomeranz, Y., 1986. Discrimination between wheat classes and varieties by image analysis. Cereal Chemistry, 63(1): 52-56.
18. Zhang, Y.J., 1999. Image Processing and Analysis. Tsinghua University Press, Beijing, China, p.20 (in Chinese).