Study on Web-Based Cotton Fertilization Recommendation and Information Management Decision Support System

Abstract : Based on the regional difference in soil fertility, the nutrient uptake of crop, the nutrient supplying capacity of soil and the response of fertilizers, etc., this study took the 81th regiment of the 5th agricultural division in Xinjiang Bingtuan as the training and cooperative region, and established the information system of soil nutrients for cotton fields and recommendation model of fertilization. Constructed comprehensive, digital and intellectualized WEB-based cotton fertilization recommendation and information management decision support system by using SQL+JSP+Win2000.The system had been applied successfully in 2005 and 2006 there, and in 2006 the mean yield per hm2 increased by 7.3%than that of former 3 years, and the fertilizer cost per hm2 reduced 114 yuan(RMB).
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Communication dans un congrès
Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.726-733, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_88〉
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Yv-Mei Dang, Xin Lv. Study on Web-Based Cotton Fertilization Recommendation and Information Management Decision Support System. Daoliang Li; Yande Liu; Yingyi Chen. 4th Conference on Computer and Computing Technologies in Agriculture (CCTA), Oct 2010, Nanchang, China. Springer, IFIP Advances in Information and Communication Technology, AICT-345 (Part II), pp.726-733, 2011, Computer and Computing Technologies in Agriculture IV. 〈10.1007/978-3-642-18336-2_88〉. 〈hal-01562742〉

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