Abstract
In current era, with the latest technological developments, the Internet of Things (IoT) is becoming an important part of our daily life. The aim of this project is to use the IoT with an intelligent wireless sensors network in order to monitor the health of plants and to observe the population of larva in a remote crop field. In this framework, a 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. 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 sensor 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 stored on the CPU and are also logged on the cloud via Thingspeak liaison. It allows accessing this data globally at any time. It is done to realize 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.