Application of Computer Vision Technology in Agricultural Field

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Computer vision technology has been widely applied to various fields of agricultural development, and with the rapid development of computer technology, graphics and image processing technology, enormous progress has been achieved on its applications in agriculture. This paper has reviewed and summarized the development of computer vision technology mainly in detection and grading of the quality of agricultural products, crop monitoring, automation of agricultural production, crop disease identification and other aspects and has discussed the prospect for future development.

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72-76

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November 2013

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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[1] Gao Hua, Zhou Lin, Application of computer vision and pattern recognition in agriculture, Journal of Shandong Agricultural University, Vol. 34 (4), pp.590-593.

Google Scholar

[2] Cen Zhexin, Cucumber leaf disease diagnosis research based on computer vision technology, Beijing: China academy of agricultural sciences, (2008).

Google Scholar

[3] He Dongbin, Research of computer vision fruit grading technology, Xi 'an: Northwest agricultural university, (1998).

Google Scholar

[4] Feng Bin, Wang Yihua, Fruit computer vision grading technology based on color, Journal of agricultural engineering, Vol. 18(2), 2002, pp.141-144.

Google Scholar

[5] Wu Yanhong, Liu Hehua, Yang Jun, Rice appearance quality detection based on computer vision, Journal of agricultural machinery, Vol. 38 (7), 2007, pp.107-111.

Google Scholar

[6] Chen Xiaoguang, Yu Haiye, Applied image processing technology to identify vegetables characteristics, Journal of agricultural engineering, Vol. 11(4), 1995, pp.23-26.

Google Scholar

[7] Li Shaokun, Suo Xinmei, Bai Zongying, Wheat group images feature recognition based on BP neural network, China agricultural science, Vol. 35(6), 2002, pp.616-620.

Google Scholar

[8] Wen Xinya, Theory method and technology research of agricultural situation monitoring layout and information access, Beijing: China agricultural university, (2001).

Google Scholar

[9] Lv Chaohui, Chen Xiaoguang, Zheng Yuanjie, Application of stereo vision technology in the seedlings upright degree determination, Journal of agricultural engineering, Vol. 17(4), 2001, pp.127-130.

Google Scholar

[10] Xu Guili, Mao Hanping, Measuring leaf area based on computer vision technology reference substance method, Journal of agricultural engineering, Vol. 18(1), 2002, pp.154-156.

Google Scholar

[11] Li Changying, Teng Guanghui, Zhao Chunjiang, Applying computer vision technology to nondestructive monitoring for greenhouse plants, Journal of agricultural engineering, Vol. 19(3), 2003, pp.140-143.

Google Scholar

[12] Zhou Ynshan, Li Qiang, Application of computer vision in mushroom picking machine, Journal of agricultural engineering, Vol. 11(4), 1995, pp.27-32.

Google Scholar