J. Marchant and R. Brivot, Real-Time Tracking of Plant Rows Using a Hough Transform, Real-Time Imaging, vol.1, issue.5, pp.363-371, 1995.
DOI : 10.1006/rtim.1995.1036

B. Astrand and A. Baerveldt, A vision based row-following system for agricultural field machinery, Mechatronics, vol.15, issue.2, pp.251-269, 2005.
DOI : 10.1016/j.mechatronics.2004.05.005

M. Ollis and A. Stentz, First results in vision-based crop line tracking, Proceedings of IEEE International Conference on Robotics and Automation, pp.951-956, 1996.
DOI : 10.1109/ROBOT.1996.503895

H. T. Søgaard and H. J. Olsen, Determination of crop rows by image analysis without segmentation, Computers and Electronics in Agriculture, vol.38, issue.2, pp.141-158, 2003.
DOI : 10.1016/S0168-1699(02)00140-0

Y. Kaizua and K. Imoub, A dual-spectral camera system for paddy rice seedling row detection, Computers and Electronics in Agriculture, pp.49-56, 2008.
DOI : 10.1016/j.compag.2008.01.012

L. Zhang-zhibin, Z. Xiwen, and . Xuecheng, Crop rows detection based on Hough transform and fisher discriminant criterion function, Journal of Image and Graphics, issue.12, pp.12-2164, 2007.

L. Zhang-zhibin, L. Xiwen, and . Qing, New algorithm for machine vision navigation of farm machine based on well-ordered set and crop row structure, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), issue.7, pp.23-122, 2007.

L. Xiwen, O. Yinggang, and Z. Zuoxi, Research and development of intelligent flexible chassis for precision farming, Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), pp.83-85, 2005.

Z. Ruijiao and L. Minzan, Rapid Crop-row Detection Based on Improved Hough Transformation, Transactions of the Chinese Society for Agricultural Machinery, pp.40-163, 2009.

Z. Lei, W. Shumao, and C. Bingqi, Crop???edge detection based on machine vision, New Zealand Journal of Agricultural Research, vol.43, issue.1, pp.50-1367, 2007.
DOI : 10.1016/j.compag.2004.01.007

N. Singh, A. Chatterjee, and A. Chatterjee, A two-layered subgoal based mobile robot navigation algorithm with vision system and IR sensor, pp.44-620, 2011.

J. Xue, L. Zhang, and T. E. Grift, Variable field-of-view machine vision based row guidance of an agricultural robot, Computers and Electronics in Agriculture, pp.85-91, 2012.
DOI : 10.1016/j.compag.2012.02.009

R. Ji and L. Qi, Crop-row detection algorithm based on Random Hough Transformation, Mathematical and Computer Modeling, pp.54-57, 2011.
DOI : 10.1016/j.mcm.2010.11.030
URL : http://doi.org/10.1016/j.mcm.2010.11.030

H. Jiang, Y. Xiao, and Y. Zhang, Curve path detection of unstructured roads for the outdoor robot navigation, Mathematical and Computer Modelling, vol.58, issue.3-4, pp.58-61, 2013.
DOI : 10.1016/j.mcm.2011.10.068

K. Huang, Detection and classification of areca nuts with machine vision, Computers and Mathematics with Applications, pp.739-746
DOI : 10.1016/j.camwa.2011.11.041

F. Ahmed, H. Abdullah-al-mamun, and A. S. Bari, Classification of crops and weeds from digital images: A support vector machine approach, Crop Protection, vol.40, issue.10, pp.40-98, 2012.
DOI : 10.1016/j.cropro.2012.04.024

J. Ji and G. Chen, Lining Sun. A novel Hough transform method for line detection by enhancing accumulator array, Pattern Recognition Letters, issue.11, pp.32-1503, 2011.