Building an Automatic Irrigation Fertilization System for Smart Farm in Greenhouse
Duy Thanh Tran, Hoanh-Su Le, Jun‐Ho Huh
Abstract
Vietnam is one of the developing countries and people’s lives depend on agricultural production for 80% of the economy. Global climate change has been seriously affecting agricultural production in Vietnam and agricultural countries around the world. Farmers work agriculture manually and lack a scientific basis, so irrigation and fertilization often waste resources, increasing unnecessary costs. Meanwhile, water resources are increasingly depleted and degraded due to climate change, and the quality of agricultural production is affected. Therefore, agricultural production needs to be improved, the authors research and combine technologies in agricultural production such as IoT, smart sensors, MQTT, intelligent pumping systems, using edge computing to design automatic or semi-automatic irrigation systems to support farmers in crop care, saving costs and increasing labor productivity. In this article, we experimented with the system on cantaloupe, with a timer program for drip irrigation and fertilizer application for plants through formula settings. Mobile, desktop, and nutrient control charting software were designed for easy monitoring, manipulation, control, and administration functions are integrated into the system. We designed the Anomaly detector model with Google Firebase cloud messaging technology to detect environmental anomalies such as PH, EC, and sprinkler pressure to automatically send alerts and reports to smart devices.