Title :
Definition of Management Zones of Soil Nutrients Based on Spatial Analysis in Cotton Field
Author :
Lv, Xin ; Chen, Yan
Author_Institution :
Key Lab. of Oasis Ecology & Agric. of Xinjiang Production & Constr. Group, Shihezi, China
Abstract :
The variables of organic matter, available N, available P and available K data determined in 193 topsoil (0-30 cm) samples were selected as data sources. Fuzzy c-means clustering algorithm was used to delineate management zones. In order to determine the optimum fuzzy control parameters, the fuzziness performance index (FPI), c-¿ combinations and the multiple regression based on external variable were used in this study. Meanwhile, the cotton yield was chosen as the external variable. The whole field was divided in four management zones. And fuzziness exponent was 1.6. The zoning statistics showed that variation coefficient of soil nutrients decreased, while the means of the soil nutrients differed sharply between management zones.
Keywords :
agriculture; cotton; fuzzy set theory; pattern clustering; production management; regression analysis; soil; c-¿ combinations; cotton yield; external variable; fuzziness exponent; fuzziness performance index; fuzzy c-means clustering algorithm; management zones delineation; multiple regression; optimum fuzzy control parameters; soil nutrients; zoning statistics; Agriculture; Cotton; Environmental factors; Environmental management; Fuzzy control; Information analysis; Laboratories; Production; Soil; Sustainable development; Fuzzy c-mean; Management zones; Soil nutrient; Spatial analysis;
Conference_Titel :
Fuzzy Systems and Knowledge Discovery, 2009. FSKD '09. Sixth International Conference on
Conference_Location :
Tianjin
Print_ISBN :
978-0-7695-3735-1
DOI :
10.1109/FSKD.2009.726