Agricultural Optimal Cropping Pattern Determination Based on Fuzzy System
| Autor: | F. Sharifzadeh, Ehsan Neamatollahi, Mohammad Reza Jahansuz, J. Vafabakhshi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Logic
Process (engineering) Computer science Optimal cropping pattern 02 engineering and technology Agricultural engineering Management Science and Operations Research Fuzzy logic Industrial and Manufacturing Engineering Theoretical Computer Science Artificial Intelligence Net income Order (exchange) 0202 electrical engineering electronic engineering information engineering Ecologic and economic principles business.industry lcsh:Mathematics Applied Mathematics 04 agricultural and veterinary sciences Fuzzy control system Maximization lcsh:QA1-939 Fuzzy system lcsh:TA1-2040 Control and Systems Engineering Agriculture 040103 agronomy & agriculture 0401 agriculture forestry and fisheries 020201 artificial intelligence & image processing lcsh:Engineering (General). Civil engineering (General) business Cropping Information Systems |
| Zdroj: | Fuzzy Information and Engineering, Vol 9, Iss 4, Pp 479-491 (2017) |
| ISSN: | 1616-8666 1616-8658 |
| DOI: | 10.1016/j.fiae.2017.12.004 |
| Popis: | Fuzzy Systems provide a framework for integrating database management systems and fuzzy logic in order to improve the decision-making process. In this study, fuzzy system was used for achieving the best cropping pattern in Agriculture. It is crucial to Integrate ecological principles with economic principles to determine optimum models. Four main objectives defined: maximization of net income of farmers, minimizing the amount of water used in agriculture, minimizing the use of chemical fertilizers and chemical pesticides. Different scenarios were defined: single-objective scenarios, double-objective scenarios, triple-objective scenarios and quadruple-objective scenarios. Finally, four proposed cropping patterns in agricultural and horticultural sectors are evaluated. The results clearly demonstrated that the current cropping pattern needed to be changed, the proposed cropping patterns has put ecological and economic principles both in a maximum optimized level together which is due to the use of the fuzzy system. |
| Databáze: | OpenAIRE |
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