Architecting farmer-centric internet of things for precision crop production

Abstract

The aim of this study is to develop a decision support system using sensors and IoT (Internet of Things)-based application in precision agriculture, first of all, in Hungary. These new technologies have the potential to transform decision-making in agriculture and to reduce environmental impact. In this paper, the advantages are demonstrated of two types of sensor sets that were installed to collect data from soil, plant, and the environment. Data are processed in a decision-making system. The proposed system allows users to monitor the fields in real-time and gives recommendations for production using wireless and internet communication.