Knowledge-based expert system for control of corn crops

Abstract

Information and communication technology in agriculture has emerged for the enhancement of agricultural and rural development through improved information and communication processes. In this context, this paper presents the design and development of a knowledge-based expert system to the control and monitoring of corn crop. The main objective of this work is to obtain a knowledge base from experts’ information that helps to determine the factors (soil, diseases and pests) that should be considered for generating recommendations. The system provides a recommendation according to the problem detected and the attributes established. For this purpose, the system used a set of inference rules. The use of this system would allow farmers to obtain important benefits such as increasing the yield and productivity of their orchards, supporting inexperienced users in crop management, increasing quality in the decision making process, and reliable results.