Recognition of plants by leaves digital image and neural network

Proceedings - International Conference on Computer Science and Software Engineering, CSSE 2008

Volumn 4, Issue , 2008, Pages 906-910

  Jiazhi, Pan ^a   Yong, He ^b  

^a HANGZHOU NORMAL UNIVERSITY   (China)

^b ZHEJIANG UNIVERSITY   (China)

Author keywords

Crop; Digital image; RBF NN; Recognition; Weed

Indexed keywords

DIGITAL IMAGE; IMAGE ANALYSIS TOOLS; IMAGE BLOCKS; IMAGE FRAMES; INPUT DATAS; KEY PROBLEMS; PRECISION FARMING; RADIAL BASIS FUNCTION NEURAL NETWORKS; RBF-NN; RECOGNITION; SOURCE IMAGES; WEED;

CROPS; INPUT OUTPUT PROGRAMS; NEURAL NETWORKS; RADIAL BASIS FUNCTION NETWORKS; SOFTWARE ENGINEERING;

IMAGE PROCESSING;

EID: 79951494639     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CSSE.2008.918     Document Type: Conference Paper

References (10)

1. Marchant, J.A., Brivot, R., 1995. Real time tracking of plant rows using a Hough transform. Real Time Imaging 1(5),363-371
2. Olsen, H.J., 1995. Determination of row position in small-grain crops by analysis of video images. Computers and Electronics in Agriculture 12(2), 147-162.
3. Sogaard H.T., Olsen HJ.,2003. Determination of crop rows by image analysis without segmentation. Computers and Electronics in Agriculture 38 (2),141-158
4. Funck J.W., Zhong Y., Butler D.A., Brunner C.C., Forrer J.B.,2003. Image segmentation algorithms applied to wood defect detection. Computers and Electronics in Agriculture 41(1-3), 157-179
5. Fu, K.S., Mui, J.K., 1981. A survey on image segmentation. Pattern Recognition 13(1), 3-16.
6. Cheng H. D., Jiang X. H., Sun Y. and Jingli Wang. ,2001.Color image segmentation: advances and prospects. Pattern Recognition. 34(12) 2259-2281
7. Ismail Kavdir,2004. Discrimination of sunflower, weed and soil by artificial neural networks. Computers and Electronics in Agriculture 44(2), 153-160
8. Victor Alchanatis, Leonid Ridel , Amots Hetzroni, Leonid Yaroslavsky,2005. Weed detection in multi-spectral images of cotton fields .Computers and Electronics in Agriculture 47(3),243-260
9. Bosoon Park, Kurt C. Lawrence, William R. Windham and Douglas P. Smith,2006. Performance of hyperspectral imaging system for poultry surface fecal contaminant detection. Journal of Food Engineering, 75(3): 340-348
10. Jeroen Lammertyn, Ann Peirs, Josse De Baerdemaeker and Bart Nicolas,2000. Light penetration properties of NIR radiation in fruit with respect to non-destructive quality assessment. Postharvest Biology and Technology, 18( 2):121-132