Abstract
The aim of this study was to establish the warning and prediction system for crop diseases and pests based on SuperMap IS. NET geographic information system (GIS), which was developed by Supermap company. In this system, the author used GIS and remote sensing (RS) technology. The system could transform data information into a geographical information map to show the occurrence degree and distribution on various diseases and pests. This paper described mainly warning flow, database design and the main functions of the system. Finally, the system realized successfully the warning of the wheat stripe rust in Xifeng region of Qingyang city in Gansu province in 2002, and the prediction result was satisfactory. It indicated that we could classify and predict diseases and pests, and select right time and technology to control the diseases and pests by this GIS system.
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References
C. BONE, S. DRAGICEVIC and A. ROBERTS. Integrating high resolution remote sensing, GIS and fuzzy set theory for identifying susceptibility areas of forest insect infestations[J]. International Journal of Remote Sensing. 2005,26(21):4809–4828
Feng Jiangfan, Ying Xuewei, Zhang Hong, et al. Forewarning System of Blue Algae for Taihu Lake Based on GIS. Environmental Science & Technology. 2006. 29(9):59–62
Huang Muyi, Wang Jihua, et al. Hyperspectral character of stripe rust on winter wheat and monitoring by remote sensing. Journal of Agricultural Engineering Research. 2003, 19(6): 154–158
Jiang Jinbao, Chen Yunhao, Huang Wenjiang, et al. Hyperspectral estimation models for LTN content of winter wheat canopy under stripe rust stress. Journal of Agricultural Engineering Research. 2008, 24 (1): 34–39
Liu Shuhua. Yang Xiaohong, et al. Decision support system for crop diseases and insect pests prevention and control based on GIS. Journal of Agricultural Engineering Research 2003, 19(4):148–150
Si Lili, Cao Keqiang, et al. Establishment of a real-time monitoring and forecasting system on main crop diseases and pests of China based on GIS. Journal of Plant Protection. 2006, 33(3):282–286
SONG Y H, HEONG K L. Use of geographical Information system in analyzing large area distribution and dispersal of rice insects in South Korea[J]. Journal of Applied Entomolite. 1993, 32(3):307–316
Wang Minghong, Jin Xiaohua, Liu Qian. The establishment of a long-distance warning and information system for major diseases and pests of corps in Beijing and its application. China Plant Protection. 2006, 7(26):5–10
Wang Shuhai, et al. Establishment of space information database of prediction systems of Dendrolimus sp. Ased on GIS. Journal of Liaoning Forestry Science & Technology. 2005, 4(13): 35–36
Zeng Shimai. Maco-phytopathology. Chinese Agricultural Technology Publishing House. 2005: 182–184
Zhou Qiang, Zhang Runjie. Studies of W ebGIS-Based Warning Information System of Planthoppers Disaster. ACTA Universitatis Sunyatseni. 2004, 30(21): 64–66
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Luo, J., Huang, W., Wang, J., Wei, C. (2009). THE CROP DISEASE AND PEST WARNING AND PREDICTION SYSTEM. In: Li, D., Zhao, C. (eds) Computer and Computing Technologies in Agriculture II, Volume 2. CCTA 2008. IFIP Advances in Information and Communication Technology, vol 294. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-0211-5_17
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DOI: https://doi.org/10.1007/978-1-4419-0211-5_17
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