Journal of Computer Science

A Fuzzy Based Decision Support System for Evaluating Land Suitability and Selecting Crops

Sri Hartati and Imas S. Sitanggang

DOI : 10.3844/jcssp.2010.417.424

Journal of Computer Science

Volume 6, Issue 4

Pages 417-424

Abstract

Problem statement: Evaluating land suitability and selecting crops in modern agriculture is of critical importance to every organization. This is because the narrower area of land, the more effectiveness in planting is required in accordance with the desires of the land. Process of evaluating land suitability class and selecting plants in accordance with decision marker's requirements is complex and unstructured. Approach: This study presented a fuzzy-based Decision Support System (DSS) for evaluating land suitability and selecting crops to be planted. A fuzzy rules was developed for evaluating land suitability and selecting the appropriate crops to be planted considering the decision maker's requirements in crops selection with the efficient use of the powerful reasoning and explanation capabilities of DSS. The idea of letting the problem to be solved determines the method to be used was incorporated into the DSS development. Results: As a result, effective decisions can be made for land suitability evaluation and crop selection problem. An example was presented to demonstrate the applicability of the proposed DSS for solving the problem of evaluating land suitability and selecting crops in real world situations. Conclusion: Fuzzy based model can represent and manipulate agriculture knowledge that is incomplete or vague and it can be used to determine land limitation rating. The rating value was used to determine limitation level of the land and used to determine what the most suitable crops to cultivate for the existing condition of the land.

Copyright

© 2010 Sri Hartati and Imas S. Sitanggang. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.