Multi input multi output embedded architecture for improving the agricultural productivity using soft computing techniques

Abstract

The application of information technology in industrial process control remains a challenging task to this day. There is a great deal of difficulty in establishing the system for real-time model-based control schemes. In such a situation, a non-linear sector with a suitable process model, such as agriculture, medicine, industrial and multi-input multi-output based system events will need a system that accurately analyzes the situations and produces results. In this scenario, many ways are available to build the system on demand bases. Taking this account, the research report in this thesis mainly deals with the multi-input multi-output embedded architecture and their real-time applications. A real-time multi-input and multi-output embedded architecture is introduced with the help of fuzzy logic and support vector machine. The proposed system addresses the real-time problem of the agriculture sector that is dependent on real-time changes, along with possible and applicable solutions. newline