Evaluation of the Performance of Intelligent Spray Networks Based On Fuzzy Logic

Abstract

Considering the ever increasing advances in technology, especially in the field of IT, It is felt necessary to approach more correctly the question of using pesticides at the suitable time and in a scientific way; because it is observed that, due to lack of necessary knowledge in deciding the type, the amount, or the application time of pesticides, using pesticides not only does not solve problems but causes irreparable environmental and economic damages as well. Therefore, in this article we tackle the default implementation and mechanization of the process of controlling pests, one of the methods of which is the use of intelligent spray using the fuzzy logic. In this method, based on the prevailing conditions in the field, it is divided into several parts so as to protect the environment, to economize in the use of pesticides, and to avoid spraying the parts of the field that are not infested with pests; and sensors sensitive to the pests present are used so that fuzzy logic can be employed to decide what types of pesticides and how much of them are to be used.