Design of a service computing system platform for monitoring plant nutrient deficiencies based on the SCSE framework

Abstract

In the industrial era 4.0, conventional agriculture is shifting towards smart agriculture that utilizes the internet of things technology to help the development of business services to meet the challenges of competitiveness and demand. The gap between the world of agricultural business and information technology needs to be bridged with the discipline of service computing using a service-oriented architecture (SOA) approach therefore the business processes contained in agriculture can be automated using information technology services to support agricultural management. In this paper, the service computing system engineering (SCSE) framework is used to design a service computing system platform for monitoring plant nutrient deficiencies. We also evaluate the results of service computing system platform designs on four SOA principles, namely the coupling factor, cohesion factor, reusability, and complexity factor. The design of the service computing system platform has met the four SOA principles.