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Multi-objective Optimization Analysis Model for County Range Soil Nutrients Sampling Point Layout Based on Improved Genetic Algorithm
C. Tian'en
Beijing Research Center for Information Technology in Agriculture
The layout of soil nutrients sampling points directly influence on the representative of soil samples and the precision of fertilization, also on sampling efficiency and sampling costs. By analyzing the various factors of county range farmland soil nutrients sampling, and setting the boundary conditions and objective function, the paper  established multi-objective optimization model for distribution of soil sampling points in large number of small farmlands of county range, the solution of the model based on improved genetic algorithm was also discussed in the paper. Agriculture and soil nutrients data of Baoyin County in Jiangsu province was used to verify the model and the solution process; the result shows that the model is suitable for soil sampling points layout optimization analysis for county range which including a large number of scattered farming farmland.
Keyword: Soil Sampling, Multi-objective Optimization Model, Genetic Algorithm, Geo-statistics
C. Tian'en    Poster    2012
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