Using of fuzzy logic for determining the appropriateness of planting different agricultural crops

Selection of a particular agricultural crop for the food production is a complexproblem. This is usually conditioned not only by the financial claims, but also otherrequirements should be taken into the account, i.e. environmental criteria,sustainability, etc. Fuzzy Logicis one of the many appropriate tools/procedures forsolving such task(s).Such a procedure will be implemented within decision-makingalgorithm for the selection of an appropriate agricultural crop. The paper deals withthe implementation of the mentioned tool/procedure for selection and ranking ofthe particular sort of crops, regarding different decision-making structures. Withinthis, there is an intention to reduce all possible biases and subjectivities tominimum by using Fuzzy Logic. This will be applied with input parameters, whichare extracted and correlated with real requirements and conditions regarding actualneeds of the market and farmers. Along with the offered agricultural crops andpossibility of their selection, final ranking and selection of the most appropriatecrop can be supported for different possible scenarios (dry or wet period of theyear, accents on the financial, environmental of other criteria, available financialresources, market availability, etc.). Presented methodology will contribute to thefinal goal, which is systematic agricultural planting and sustainability of the foodproduction.