Development of a real-time fruit recognition system for pineapple harvesting robots

American Society of Agricultural and Biological Engineers Annual International Meeting 2010, ASABE 2010

Volumn 6, Issue , 2010, Pages 4958-4968

  Li, Bin ^a   Wang, Maohua ^a   Wang, Ning ^b  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b OKLAHOMA STATE UNIVERSITY   (United States)

Author keywords

Feature recognition; Image processing; Image segmentation; Pineapple harvesting

Indexed keywords

ENGINEERS; EXPERIMENTS; FEATURE EXTRACTION; FRUITS; HARVESTING; IMAGING SYSTEMS; MACHINE DESIGN; PERSONAL COMPUTERS; ROBOTS;

CLEAR SKY; CLOUDY DAYS; CMOS CAMERA; FEATURE RECOGNITION; FIELD CONDITIONS; FRUIT RECOGNITION; HARVESTING PERIODS; HARVESTING ROBOT; HOT WEATHER; ILLUMINATION DEVICES; IMAGE PROCESSING ALGORITHM; LABOR FORCE; LARGE PROJECT; PINEAPPLE HARVESTING; ROBOTIC SYSTEMS; TRAINING SETS;

IMAGE SEGMENTATION;

EID: 78649715072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (15)

1. Bulanon, D.M., T. Kataoka and Y. Ota. 2002. A Segmentation Algorithm for the Automatic Recognition of Fuji Apples at Harvest. Biosystems Engineering, 83(4): 405-412.
2. Li, B., G. Li and Y. Wang. 2007. A classification method of pearl shape based on Zernike moment. Wavelet Analysis and Pattern Recognition Proceedings. International Conference. Beijing, 2-4 Nov. 2007.Page(s): 1076-1079.
3. Li, M. Z.. 2006. Spectral analysis technology and its applications. Beijing: Science Press. ISBN: 7030173546.
4. Sonka, M. and V. Hlavac. 2002. Image Processing, Analysis, and Machine Vision (Second Edition): CL-Engineering Press. ISBN: 049508252X.
5. Li, W., T. Yuan and Q. C. Feng. 2008. A cucumber harvesting robot system and picking method in greenhouse environment. Patent Application number: 200810222537.7. P. R. China.
6. Liu, C. L. and T. L. Zhang. 2008. Image recognition method of eggplant harvesting robot. Transactions of the Chinese Society for Agricultural Machinery. 39(11): 216-219.
7. Kondo, N. S. and K. C. Ting. 1998. Robotics for plant production. Artificial Intelligence Review. 12: 227-243.
8. Moctó, E., F. Pla and F. Juste. 1992. Vision system for the location of citrus fruit in a tree canopy. Journal of Agricultural Engineering Research, 52(2): 101-110.
9. Shi, J. F.. 2003. Micromation and applications of spectrometers. Optical technique. 29(1):13-20.
10. Sites P. W. and M. J. Delwiche. 1988. Computer vision to locate fruit on a tree. Transactions of the ASAE, 31(2):257-263.
11. Slaughter, D. C. and R. C. Harrell. 1989. Discriminating Fruit for Robotic Harvest Using color in Natural Outdoor Scenes. Transactions of the ASAE, 32 (2):757-763.
12. Watcharin, K.. 2007. Fitting a Pineapple Model for Automatic Maturity Grading. International Conference on Image Processing Proceedings. San Antonio. Sept. 16-19, 2007. Page(s): 257-260.
13. Zhang, S. H. and T. Takahashi. 1996. Studies on Automation of Work in Orchards (part 1). Detection of Apple by Pattern Recognition. Journal of the Japanese Society of Agricultural Machinery, 58(1):9-16.
14. Zhang, T. Z, L. B. Chen, and J. Z. Song. 2005. Research of strawberry harvesting robot: II.The determination of strawberry central of gravity and picking position based on image. Journal of China Agricultural University, 10(1): 48-51.
15. Zhang, Y. J., M. Z. Li, J. Qiao and G. Liu. 2008. Segmentation Algorithm for Apple Recognition using Image Features and Artificial Neural Network. Acta Optical Sinica, 28(11): 2104-2108.