An IoT Solution Designed for Remote Automatic Control and Supervisor Systems to Key Environmental Factors and Diseases in Coffee Farms in Vietnam

Abstract

Growth and development of the coffee plant depend on many environmental and management factors that must be continuously supervised and controlled. However, most of the coffee farms in Vietnam do not have any remote automatic control and supervisor systems for them. The care of coffee plants fully depends on weather and farmer experience, which have caused many issues and challenges such as low quantity, poor quality, and common pests. The present study describes the design of local network architecture of data acquisition controllers from the environmental sensors and cameras used for measuring, monitoring, and recording environmental parameters such as temperature and humidity as well as image of coffee leaves damaged due to disease. The slave controllers collect data and transfer them to a master controller through the Lora network, so that the master can send data to server using Internet. The slave controller also controls the actuator such as water pump and electrical fan to keep the environmental parameters within a suitable range. This design is the base to fabricate the real systems and experiments in coffee farms in Western Highlands of Vietnam later.