Smart Farming Precision Agriculture Project Success based on Information Technology Capability

The imperative of any area to involve technology in anything creates loopholes. In terms of implementing Smart Farming Precision Agriculture, several problems arise, especially in rural areas, one of which is the availability of information technology infrastructure. The solution to these problems requires input for policymakers in the success or failure of implementing Smart Farming Precision Agriculture which is based on information technology capabilities. The aim of this research is to understand the relationship between Information Technology capability and Information Systems Project Success models in terms of applying Smart Farming Precision Agriculture and to integrate Information Technology capability and Information Systems Project Success models in the context of implementing Smart Farming Precision Agriculture. The proposed model is developed by adopting Chen's Information Technology capability model and McLean and DeLone's Information Systems Project Success model. The research result is a new model with 21 influential research hypotheses and aims to assess the success of the application of Smart Farming Precision Agriculture as a decision-making material in a project. Coherent submission of the definitions of variables, indicators, and questions from each measurement item is shown in this paper.