A vision based row detection system for sugar beet

Computers and Electronics in Agriculture

Volumn 60, Issue 1, 2008, Pages 87-95

  Bakker, Tijmen ^a   Wouters, Hendrik ^a   van Asselt, Kees ^a   Bontsema, Jan ^a   Tang, Lie ^b   Müller, Joachim ^c   van Straten, Gerrit ^a  

^a WAGENINGEN UNIVERSITY   (Netherlands)

^b Iowa State University of Science and Technology   (United States)

^c UNIVERSITY OF HOHENHEIM   (Germany)

Author keywords

Crop rows; Hough transform; Machine vision; Row detection; Sugar beet; Vision guidance

Indexed keywords

ADAPTIVE ALGORITHMS; ALGAE; CROPS; DEMODULATION; GREENHOUSE GASES; HOUGH TRANSFORMS; SOILS; SUGAR BEETS;

CROP ROWS; GREY SCALE TRANSFORMATION; ROW DETECTION; VISION GUIDANCE;

COMPUTER VISION;

ALGORITHM; DETECTION METHOD; ERROR ANALYSIS; EXPERIMENTAL STUDY; GREENHOUSE ECOSYSTEM; IMAGE PROCESSING; MACHINERY; SUGAR BEET; TRANSPORT VEHICLE;

BETA VULGARIS SUBSP. VULGARIS; CHLOROPHYTA;

EID: 36749067900     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2007.07.006     Document Type: Article

References (12)

1. Åstrand B., and Baerveldt A.J. An agricultural mobile robot with vision-based perception for mechanical weed control. Autonom. Robots 13 1 (2002) 21-35
2. Billingsley J., and Schoenfisch M. The successful development of a vision guidance system for agriculture. Comput. Electron. Agricult. 16 2 (1997) 147-163
3. Hague T., and Tillett N.D. A bandpass filter-based approach to crop row location and tracking. Mechatronics 11 1 (2001) 1-12
4. Leemans V., and Destain M.F. Application of the Hough transform for seed row localisation using machine vision. Biosyst. Eng. 94 3 (2006) 325-336
5. Lo R.C., and Tsai W.H. Gray-scale Hough transform for thick line detection in gray-scale images. Pattern Recog. 28 5 (1995) 647-661
6. Marchant J., and Brivot R. Real-time tracking of plant rows using a Hough transform. Real-Time Imaging 1 5 (1995) 363-371
7. Marchant J.A. Tracking of row structure in three crops using image analysis. Comput. Electron. Agricult. 15 2 (1996) 161-179
8. Philipp I., and Rath T. Improving plant discrimination in image processing by use of different colour space transformations. Comput. Electron. Agricult. 35 1 (2002) 1-15
9. Slaughter D.C., Chen P., and Curley R. Vision guided precision cultivation. Precision Agricult. 1 2 (1999) 199-216
10. Søgaard H.T., and Olsen H.J. Determination of crop rows by image analysis without segmentation. Comput. Electron. Agricult. 38 2 (2003) 141-158
11. Tillett N.D., Hague T., and Miles S.J. Inter-row vision guidance for mechanical weed control in sugar beet. Comput. Electron. Agricult. 33 3 (2002) 163-177
12. Woebbecke D.M., Meyer G.E., Von Bargen K., and Mortensen D.A. Color indices for weed identification under various soil, residue, and lighting conditions. Trans. ASAE 38 1 (1995) 259-269 American Society of Agricultural Engineers 1958, St. Joseph, MI