Tobacco Pest Monitoring Feasibility Analysis Based on RS

Mei Wang; Xin Ju Li; Yan Yan Lu; Shu Li Guo

doi:10.4028/www.scientific.net/AMR.217-218.1516

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 217-218Tobacco Pest Monitoring Feasibility Analysis Based...

Tobacco Pest Monitoring Feasibility Analysis Based on RS

Abstract:

As one of the most important economic crops, tobacco is often endangered by pest disaster, which can lower the quality and output of tobacco, traditional methods can’t forecast pest disaster in time for the quantity of tobacco. This article analyzes the theory of remote sensing monitor and comes up to monitor tobacco diseases with remote sensing. It discusses the feasibility of using this technique in this article by introducing the basic theory of RS and monitoring other pest disaster.

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Periodical:

Advanced Materials Research (Volumes 217-218)

Pages:

1516-1519

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.217-218.1516

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Online since:

March 2011

Authors:

Mei Wang, Xin Ju Li, Yan Yan Lu, Shu Li Guo

Keywords:

Insect Pest, Monitor, Possibility, RS, Tobacco Diseases

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References

[1] REN Qiongli , Tobacco pest control[M], Yun Nan University Press, 2007. 9.

Google Scholar

[2] WANG Zhi, Cao Jun, Cao Qingchang, et al. Feasibility of Monitoring Chestnut Diseases and Pests with Hyper Spectral Remote Sensing[J]. Chinese Agricultural Science Bulletin, 2010, 26(13): 380-384.

Google Scholar

[3] TAN Wen, Tobacco pest control hand-book[M]. Logistic golden shield Press, 2009. 5.

Google Scholar

[4] SUN Shuqing, Luo Jisheng, Li Qingjun, Application of Modern Technology In Our Country Forest Pest Monitoring and Management[J]. Protection Forest Science and Technology, 2004. 3, 59(2): 38-39.

Google Scholar

[5] YAN Feng, LI Mao-song, WANG Yan-jiao, et al. Application of remote sensing technique to monitor agricultural disasters[J]. Journal of natural disasters, 2006. 12. 15(6): 131-136.

Google Scholar

[6] WU Honggan, SHI Jin, JIANG Liya, et al. Application of 3S in forest pest monitoring and management in AnHui Province[C]. Pest and Environment—Collected papers of China Entomological Society in (2001).

Google Scholar

[7] LI Dengke, Application of RS in pest investigation[J], Shaanxi meteorological, 1998(3): 27-30.

Google Scholar

[8] DAI Fu, LI Guochun, Ge Lei. Research on the monitoring and assessment method of rice blast and system development[J]. Agricultural network information, 2007, 1, Research and development: 21-37.

Google Scholar

[9] WANG Gang, Advances and outlook for forecast work of tobacco diseases and insect pests in China [J]. Chinese tobacco science, 2004, (1): 44-46.

Google Scholar

[10] YANG Cunjian, CHEN Deqing, WEI Yiming. Application pattern of RS and GIS in forest diseases and pest disasters monitoring and management[J]. Journal of catastrophology, 1999, 3, (1): 6-10.

Google Scholar