[1] [1] J N Wilson. Guidance of agricultural vehicles-a historical perspective [J]. Computers and Electronics in Agriculture, 2000, 25(1): 3-9.

[2] [2] Shen Chuan, Jiang Huanyu, Bao Yingshi. Research on machinery vision technology and GPS in field of autonomous navigation of agriculture vehicle [J]. Journal of Agricultural Mechanization Research, 2006, (7): 185-188.

[3] [3] Jiang Guoquan, Ke Xing, Du Shangfeng, et al.. Crop row detection based on machinevision [J]. Acta Optica Sincia, 2009, 29(4): 1015-1020.

[4] [4] C Gee, J Bossu, G Jones, et al.. Crop/weed discrimination in perspective agronomic images [J]. Computers and Electronics in Agriculture, 2008, 60(1): 49-59.

[5] [5] Zhao Jiewen, Liu Muhua, Yang Guobin. Discrimination of maure tomato based on HIS color space in Natural Outdoor scenes [J]. Transactions of the Chinese Society of Agricultural Machinery, 2004, 35(5): 122-125.

[6] [6] An Qiu, Li Zhichen, Ji Changying, et al.. Agricultural robot vision navigation algorithm based on illumination invariant image [J]. Transactions of the Chinese Society of Agricultural Engineering, 2009, 25(11): 2008-212.

[7] [7] Yao Yuhong, Li Yanfeng, Liu Bowen, et al.. Analysis of real photonic crystal fibers by finite-difference frequency-domain method combined with digital imageprocessing [J]. Acta Pica Sinica, 2008, 28(7):1384-1389.

[8] [8] Hu Lian, Luo Xiwen, Zeng Shan, et al.. Plant recognition and localization for intra-row mechanical weeding device based on machine vision [J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(10): 12-18.

[9] [9] Duan Rujiao, Zhao Wei, Huang Songling, et al.. Fast line detection algorithm based on improved Hough transformation [J]. Chinese J Scientific Instrument, 2010, 31(12): 2274-2279.

[10] [10] Zhao Ruijiao, Li Minzan, Zhang Man, et al.. Rapid crop row detection based on improved Hough transformation [J]. Transactions of the Chinese Society of Agricultural Engineering, 2009, 40(7): 163-165.

[11] [11] Zhang Jiangxin, Shen Xiaolan, Wang Hui, et al.. Fast multiline detection algorithm using randomized Hough transform [J]. Journal of Zhejiang University of Technology, 2013, 41(3): 344-350.

[12] [12] Si Yongsheng, Jiang Guoquan, Liu Gang, et al.. Early stage crop rows detection based on least square method [J]. Transactions of the Chinese Society of Agricultural Engineering, 2010, 41(7): 163-167.

[13] [13] Hu Lian, Luo Xiwen, Zhang Zhigang, et al.. Side-shift offset identification and control of crop row tracking for intra-row mechanical weeding [J]. Transactions of the Chinese Society of Agricultural Engineering, 2013, 29(14): 8-14.

[14] [14] Zhong Yuzhuo, Qiao Bingxin, Li Shuqing. Robot Vision Technology [M]. Beijing: National Defence Industry Press, 1994. 77-78.

[15] [15] Lin Weiming, Hu Yuntang. Image segmentation method based on YUV color space for tomato harvesting robot [J]. Transactions of the Chinese Society of Agricultural Machinery, 2012, 43(12): 177-180.

[16] [16] Wang Xiaorong, Zhao YingKai, Lin JinGuo. Fast target recognition based on YUV model and Gabor filter [J]. Computer Engineering and Design, 2009, 30(20): 4701-4703.

[17] [17] J J de Dios, N Garcia. Face detection based on a new color space YCgCr [J]. IEEE International Conference on Image Processing, 2003, 3: 909-912.

[18] [18] Mao Hanping, Zhang Yancheng, Hu Bo. Segmentation of crop disease leaf images using fuzzy C-means clusting algorithm [J]. Transactions of the Chinese Society of Agricultural Engineering, 2008, 24(9): 136-140.

[19] [19] Chen Guo, Zuo Hongfu. The image adaptive thresholding by index offuzziness [J]. Acta Automatica Sinica, 2003, 29(5): 791-796.

[20] [20] Liu Jianzhuang. A fuzzy clustering method for image segmentation based on two-dimensional histogram [J]. Acta Electronica Sinica, 1992, 20(9): 40-45.

[21] [21] Meng Qingkuan, Liu Gang, Zhang Man, et al.. Algorithm for crop rows detection based on liner correlation coefficient constrained [J]. Transactions of the Chinese Society of Agricultural Machinery, 2013, (S): 216-223.