Year 2018, Volume 3, Issue 3
| Year : | 2018 |
| Volume : | 3 |
| Issue : | 3 |
| Authors : | Bojan ĐURIN, Anita PTIČEK SIROČIĆ, Nikola SAKAČ, Marko ŠRAJBEK |
| Title : | USING OF FUZZY LOGIC FOR DETERMINING THE APPROPRIATENESS OF PLANTING DIFFERENT AGRICULTURAL CROPS |
| Abstract : | Selection of a particular agricultural crop for the food production is a complex problem. This is usually conditioned not only by the financial claims, but also other requirements should be taken into the account, i.e. environmental criteria, sustainability, etc. Fuzzy Logicis one of the many appropriate tools/procedures for solving such task(s).Such a procedure will be implemented within decision-making algorithm for the selection of an appropriate agricultural crop. The paper deals with the implementation of the mentioned tool/procedure for selection and ranking of the particular sort of crops, regarding different decision-making structures. Within this, there is an intention to reduce all possible biases and subjectivities to minimum by using Fuzzy Logic. This will be applied with input parameters, which are extracted and correlated with real requirements and conditions regarding actual needs of the market and farmers. Along with the offered agricultural crops and possibility of their selection, final ranking and selection of the most appropriate crop can be supported for different possible scenarios (dry or wet period of the year, accents on the financial, environmental of other criteria, available financial resources, market availability, etc.). Presented methodology will contribute to the final goal, which is systematic agricultural planting and sustainability of the food production. |
| For citation : | Đurin, B., Ptiček Siročić, A., Sakač, N., Šrajbek, M. (2018). Using of fuzzy logic for determining the appropriateness of planting different agricultural crops. AGROFOR International Journal, Volume 3. Issue No. 3. pp. 24-30. DOI: 10.7251/AGRENG1803024D |
| Keywords : | Fuzzy logic, Agricultural crop, Decision making, Criteria, Sustainability |
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ISSN 2490-3434 (Printed)
ISSN 2490-3442 (Online)
ISSN 2490-3442 (Online)
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