Abstract
The aim of this project is to develop an efficient event driven wireless sensors network for an effective and power efficient monitoring of plants health and larva population in a remote crop field. In this framework, an event-driven wireless sensors network is proposed to detect larva and measure other system parameters like Acoustic Complexity Index (ACI), temperature, humidity and soil moisture. The sensors' data is collected by the front end sensing node, developed with a STM32F407VG board, via a serial port. The STM32F407VG board is based on the ARM processor. In contrast to the clock driven classical sensing nodes, the devised sensing nodes only acquire and transmits the sensors data in the case of a significant change. It significantly reduces the power consuming data acquisition and transmission activity as compared to the classical solutions. It improves the proposed solution power efficiency and autonomy as compared to the counter classical ones. The data from the node is transmitted to a base station by using a wireless ZigBee interface. The base station collects data from a group of event-driven sensing nodes. This data is transmitted to the Central Processing Unit (CPU) via the USB liaison between the base station and the CPU. On CPU this data is analyzed via the MATLAB based specifically developed application. The findings are displayed and logged on the CPU. It allows the terminal user to access this and to achieve a timely interaction and cure of the intended crop field. The system parameters are adjusted in order to achieve the effective modules integration and performance. The proposed system operation is tested with an experimental setup. Results have confirmed a proper system functionality.