An efficient crop row detection method for agriculture robots

Proceedings - 2014 7th International Congress on Image and Signal Processing, CISP 2014

Volumn , Issue , 2014, Pages 655-659

  Tu, Chunling ^a   Van Wyk, Barend Jacobus ^a   Djouani, Karim ^a   Hamam, Yskandar ^a   Du, Shengzhi ^a  

^a TSHWANE UNIVERSITY OF TECHNOLOGY   (South Africa)

Author keywords

Agriculture Robots; Computer Vision; Crop Row Detection; Hough transform (HT)

Indexed keywords

AGRICULTURE; COMPUTER VISION; CROPS; HOUGH TRANSFORMS; IMAGE MATCHING; SIGNAL PROCESSING;

CAPTURED FRAME; COMPLEX ALGORITHMS; COMPUTATION LOADS; CROP ROW DETECTION; DETECTION ACCURACY; HIGH TIME EFFICIENCY; LOW-LEVEL FEATURES; VISION BASED NAVIGATION;

ROBOTS;

EID: 84946531493     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CISP.2014.7003860     Document Type: Conference Paper

References (11)

1. Zhao B; Zhang X; Zhu Z; et. al. A Vision-based Guidance System for an Africultural Vehicle. World Automation Congress (WAC), 2010. pp: 117-121
2. Wang F. Guidance Line Detection For Strawberry Field In Greenhouse. 2010 Symposium on Photonics and Optoelectronic (SOPO). pp: 1-4.
3. Qin C; Du Q; Tian L; et. al. The Control System Design of Automatic Weeding Robot Based on Visual Navigation. 2012 IEEE International Conference on Robotics and Biomimetics (ROBIO). pp. 956-961
4. Sogaard H. T., Olsen H. J. Determination of crop rows by image analysis without segmentation. Computers and Electronics in Agriculture. Volume 38, Issue 2, February 2003, Pages 141-158
5. Tellaeche A., Burgos-Artizzu X. P., Ribeiro A. A computer vision approach for weeds identification through Support Vector Machines. Applied Soft Computing. Volume 11, Issue 1, January 2011, Pages 908-915
6. Rovira-Mas F., Zhang Q., Reid J. F. andWill J. D. Hough-transform-based Vision Algorithm for Crop Row Detection of an Automated Agricultural Vehicle. Proceedings of the Institution of Mechnical Engineers, Part D: Journal of Automobile Engineering. Vol. 219, 2005. pp: 999-1010.
7. Zhao CJ; Jiang GQ. Baseline Detection and Matching to Vision-based Navigation of Agricultural Robot. 2010 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). pp: 44-48.
8. Jiang GQ; Zhao CJ; Si YS. A Machine Vision Based Crop Rows Detection for Agricultural Robots. 2010 International Conference on Wavelet Analysis and Pattern Recognition (ICWAPR). pp: 114-118.
9. Marchant J. A., Brivot R. Real-Time Tracking of Plant Rows Using a Hough Transform. Real-Time Imaging Volume 1, Issue 5, November 1995, Pages 363-371.
10. Woebbecke D. M.; Meyer G. E.; Von Bargen K.; Mortensen D. A. Color indices for weed identification under various soil, residue, and lighting conditions. Transactions of the ASAE. 1995, vol. 38, no 1, pp. 259-269.
11. Otsu, N., "A Threshold Selection Method from Gray-Level Histograms, " IEEE Transactions on Systems, Man, and Cybernetics, Vol. 9, No. 1, 1979, pp. 62-66