吉林大学学报(工学版) ›› 2013, Vol. 43 ›› Issue (04): 997-1003.doi: 10.7964/jdxbgxb201304025

• paper • Previous Articles     Next Articles

Optimization of water-saving irrigation technology based on ant colony algorithm and supporting vector machine

ZHAI Zhi-fen1,2, YAN Chang-rong1, ZHANG Jian-hua3, ZHANG Yan-qing1, LIU Shuang1   

  1. 1. Institute of Environmental and Sustainable Development in Agriculture, Chinese Academy of Agricultural Science, Beijing 100081, China;
    2. Academy of Planning and Designing of the Ministry of Agriculture, Beijing 100125, China;
    3. Agricultural Information Institute, Chinese Academy of Agricultural Science, Beijing 100081, China
  • Received:2012-04-18 Online:2013-07-01 Published:2013-07-01

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Abstract:

After considering the factors of production, ecology, economics, meteorology, society and soil, an index system for selecting water-saving irrigation technology was established. An optimization model of water-saving irrigation technology was developed based on Ant Colony Algorithm (ACA) and Support Vector Machine (SVM). The ACA was used to select indicators and SVM was used to build the classifier. Forty-three counties in Shanxi Province were taken as cases to test the model. Results show that ACA reduces the number of indicators. Form 30 indicators of the index system of water-saving irrigation technology, 12 indicators were selected out for wheat, 16 indicators for corn, 17 indicators for soybean and cotton. The model was used to optimize water-saving irrigation for wheat, corn, soybean and cotton fields respectively, and results were basically consistent with local conditions. The proposed model could provide scientific basis for decision-makers, and has great practical significance in selecting suitable water-saving irrigation technology for planning and designing irrigation projects.

Key words: agricultural engineering, water-saving irrigation technology, optimization model, ant colony optimization, support vector machine

CLC Number: 

  • S275

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