Design and deploy a wireless sensor network for precision agriculture

This paper describes the design, implementation, and deployment of wireless sensor network for precision agriculture. A wireless sensor network was built to use for precision agriculture in which the farmers can monitor and control the agricultural and environmental parameters such as air temperature, air humidity, light, soil moisture, pH, etc. The collected data is stored and transmitted wirelessly to the farmers, which they can use to control and decide appropriate actions for their farm to manage the production and quality. At the hardware side, the system consists of three components: wireless sensor nodes LAU-WSN, wireless sensor management node LAU-WMN, and a server. Software was built at each node to carry out their tasks. At the software side, we proposed a WSN Management Framework for Precision Agriculture, called MFPA, which consists of 3 modules: data collection module, controller module, and data prediction module. The interaction among these modules ensures that user is provided real time environmental and agricultural information which are used to manage the agriculture field. The deployed system has been working properly and promising to bring significant benefits in the agricultural field. Our experimental results show that the data prediction module with dynamic Bayesian network on average can achieve 77.5% and 67.6% accuracy for the temperature prediction, and for the humidity prediction, respectively.