An implementation of expert system in garlic using (ABC) Algorithm

The presently developed paper deals with the design of garlic expert systems using machine learning algorithms to advice the farmers in villages through online. An expert system is a computer program that simulates the judgments and behavior of a human or an organization that has expert knowledge and experience in a particular field. Typically, such a system contains a knowledge base containing accumulated experience and a set of rules for applying the knowledge base to each particular situation that is described to the program. Machine learning is a branch of computer science covering software that uses data to improve it´s accuracy at some given task. Conrad uses supervised learning, which is one component of machine learning. Artificial Bee Colony (ABC) Algorithm is one of the mostly used Machine Learning Technique. By using this ABC Algorithm we developed a new `Garlic Expert Advisory System´. This system is mainly aimed to identify the diseases and disease management in garlic crop production to advise the farmers in the villages on line to obtain standardized yields. This advisory system is designed by using Java Server Pages (JSP) as front end and MYSQL as backend.