A Fuzzy Approach in the Study of Amount of Pesticide Use in Agricultural Sustainability

Abstract

The level of progress of human civilization what it is now has been possible for, among other issues, the ever increasing use of pesticides in agriculture. The use of pesticides has made it easy to meet the target of one of the basic need i.e. food of such a huge population. Without the use of pesticides we may have to starve to death due to a severe food crisis. But too much use of pesticide is harmful. A pesticide may not be so harmful if it can be used in proper dose i.e. the correct quantity is very important in the exposure (use) of any pesticide. Here arises the need of fuzzy logic that helps framing an appropriate model for proper use of pesticides that can overcome the food crisis. In this article, in order to determine the correct use of pesticides compatible with agricultural sustainability we introduce fuzzy set theory and fuzzy logic to develop fuzzy rule based systems in our fuzzy model. Using five important sustainable indicators in agricultural sustainable development due to pesticides, we introduce here a fuzzy rule based system for the hypothetical fuzzified values of three of the indicators and obtain a fuzzy conclusion. Membership functions are used in the trapezoidal or triangular form to represent the fuzzy numbers associated to each indicators. We get a numerical crisp value for hypothetical data input after the defuzzification process. The discussion about fuzzy model developed in this article provides an approach to build up an way to agricultural sustainable development regarding pesticides.

Keywords

• fuzzy logic
• fuzzy set theory
• indicators of sustainability
• linguistic variable
• sustainable development