Wireless Sensor Networks for Precision Agriculture: Data Collection in Greenhouses

International audience This paper presents our study on the collection and analysis of data for precision agriculture based on wireless sensor networks (WSN) in greenhouses. The main objective is to examine how environmental parameters (temperature, ambient humidity, and soil moisture) interact with network parameters such as the Received Signal Strength Indicator (RSSI). The experiments were conducted in a tunnel greenhouse measuring 10 x 25 meters located at the University of Ngaoundéré, Cameroon. Data were collected using two communication technologies: Bluetooth Low Energy (BLE) and WiFi ESP-NOW across four distinct scenarios. The collected data enabled us to study the effects of different sensor layouts and technologies on the measurements obtained. The results show significant correlations among the captured values. Data analysis reveals complex interactions that can be utilized to enhance the understanding of conditions affecting crop growth. The study demonstrates that the adopted approach is advantageous for African contexts, offering the potential for the development of more efficient greenhouse management models tailored to local conditions. The conclusions pave the way for future research to refine predictive models and optimize cultivation practices based on the specific conditions of each greenhouse environment.