Distributed Computing Agriculture Water Spraying System using LORA Communication

Abstract

The distributed computing system of the client-server architecture in a small-size computing grid was used in the water spraying system in the agriculture field. The grid was built across Long Range(LoRa) communication networks with the same network ID and different addresses. The computing system at a collaboratively working level was built over autonomous microprocessors, which consist of a server and five client microprocessors. A smartphone was used as the server of a central controller. Four moisture sensing modules and a water spraying system module were used as autonomous clients. The server was interconnected with the clients through star type topology network in the polling process. Each client module autonomously analyzed the measured digital voltage of the moisture sensor plugged into the soil. When the server asked about the status of the water request condition, the client sent the request signal to the server in the LoRa communication technology. The communication between the server and the clients was in the LoRa communication by a LoRa-to-Bluetooth converter, which was interpreted between the Bluetooth communication and the LoRa communication signals. The field test was performed in about 6600 square meters of watermelon field.