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基于GIS的猕猴桃土壤养分评价与施肥建议模型研究
引用本文:朱红春,张蕾,刘海英,张继贤. 基于GIS的猕猴桃土壤养分评价与施肥建议模型研究[J]. 农业工程学报, 2007, 23(6): 194-198
作者姓名:朱红春  张蕾  刘海英  张继贤
作者单位:山东科技大学地球信息科学与工程学院,青岛,266510;中国测绘科学研究院,北京,100039;山东科技大学地球信息科学与工程学院,青岛,266510;山东科技大学理学院,青岛,266510;中国测绘科学研究院,北京,100039
基金项目:国家重点基础研究发展计划(973计划)
摘    要:该论文以陕西省周至县为例,基于GIS技术,得到土壤养分的地域分布模型和适宜性等级划分;针对猕猴桃的生育特性,建立了养分需求模型;针对土壤养分的空间分布特点,给出具有决策指导意义的施肥建议,以提高猕猴桃果品的品质和产量;研制了基于施肥建议模型的果树施肥信息系统。该方法实现了GIS支持下的基础土壤养分数据的空间化、可视化、系统化管理,最大程度上实现了连续性的养分分布模型的构建,并对不同地域的施肥建议进行了可视化输出。该方法是实现“数字农业”和“精准施肥”目标的有益探索,具有一定的理论和实践意义。

关 键 词:GIS  土壤养分  施肥  猕猴桃
文章编号:1002-6819(2007)6-0194-05
收稿时间:2006-10-10
修稿时间:2007-06-09

Soil nutrient evaluation and recommended model for Chinese gooseberry fertilization based on GIS
Zhu Hongchun,Zhang Lei,Liu Haiying and Zhang Jixian. Soil nutrient evaluation and recommended model for Chinese gooseberry fertilization based on GIS[J]. Transactions of the Chinese Society of Agricultural Engineering, 2007, 23(6): 194-198
Authors:Zhu Hongchun  Zhang Lei  Liu Haiying  Zhang Jixian
Affiliation:1. Geo-information Science and Engineering College, Shandong University of Science and Technology, Qingdao 266510, China; 2. Chinese Academy of Survey and Technology, Beijing 100039, China; 3. College of Science, Shandong University of Science and Technology, Qingdao 266510, China
Abstract:Based on GIS management of soil nutrient in Zhouzhi County of Shaanxi Province, the distribution model and suitable rank division were obtained by computation. In view of the Chinese gooseberry characteristics, the demanding model has been established. Thus in view of the soil nutrient spatial distribution character the suggestion on the policy-making instruction significance to apply fertilizer was put forward to improve the quality and output of the Chinese gooseberry. On the basis of the model of the fertilizer suggestion, fruit tree fertilization information system was established. This method has realized spatial, visible and systemic management of soil nutrient data under the GIS support, in the greatest degree of realizing continuous nutrient distribution model construction. Visualized output of fertilizer applying suggestion for the different regions can be realized. This method is a beneficial exploration to realize "digital agriculture" and "precision fertilization", which has the certain theory and the practice significance.
Keywords:GIS
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