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.