Sensor networks data acquisition and task management for decision support of smart farming

Agricultural sector has been facing great challenges in order to feed the increasing number of population living in the world. In the future, it will be very difficult to rely on traditional farming to produce food. Some researchers and industry experts have begun developing smart farming by utilizing information technology. This paper presents the conceptual model and system design for decision support of smart farming with network sensor applications in order to perform necessary tasks required for farmers. We propose a comprehensive model using Internet of Things (IoT) approach which will be applied to agriculture. Data acquisition via sensors, control and tasks management, and data analysis are considered in the development of model and system design. In this system, we propose a solution to help farmers facing problems of tasks management and planning, environment factors measurements, and information distribution.