Early rice disease detection and position mapping system using drone and IoT architecture

Rice is the main agricultural produce in many Asian countries. However, the occurrence of diseases on rice plants could degrade the quality and decrease the quantity of rice. Therefore, earlier detection of plant disease will help preventing the rice from severe infection and avoiding crop loss. Recently, drones have been used in agriculture monitoring together with the camera and GPS sensor. It is an alternative tool to obtain data quickly and autonomously in large-scaled area. For a better rice productivity, this paper presents the implementation system of drone based on Internet of Things (IoT) architecture using real-time information including data acquisition and data analysis using image processing technique to perform rice disease detection and classification. The system is capable of displaying the analytic results including the position of infected rice plants mapping them on rice fields by using GPS sensor to define the position in real-time. This system was designed and proposed as a preliminary to support system for early and real-time disease detection with the implementation of IoT architecture.