Garlic Expert Advisory System using Parallel ABC Algorithm

  • Debnath Bhattacharyya

Abstract

Expert systems are the computer based systems that are helpful for identifying the diseases on the basis of rules or the symptoms to the database of the expert system. In the current paper, we present an expert system on garlic such that to identify the diseases that were being taken place on the garlic crop when it is being cultivated by the farmers. By taking the decisions on the basis of the data given by the farmers, the farmers will get a good advice from the system rather than going to the agricultural scientists with early and get some prevention steps to control the diseases. In order to identify the diseases in garlic crop, an Artificial Bee Colony algorithm with Shared Memory Architecture was used with the expert system such that to recognize the disease in garlic crop. The machine learning algorithm, parallel artificial bee colony algorithm is an evolutionary algorithm which is to identify the diseases in the crop of the garlic. As per the result, the performance of the garlic expert system is excellent with the data given by the farmers from various locations.
Published
2018-11-30