부산대학교 도서관

Smart agriculture is a new agricultural production mode and is considered a potential solution for food supply issues under current limited land space conditions. The application of the Internet of Things (IoT) in smart agriculture can effectively increase food production with relatively low labor costs by deploying various wireless communication sensors in the field to collect plant information during the agricultural process. This paper developed an extendable IoT based sensor system for smart agriculture applications. The proposed sensing system can acquire real-time plant information through its plant environment and plant phenotyping monitoring process. The plant environment monitoring process can collect real-time plant environmental data through multiple wireless environment measuring sensors. At the same time, the plant phenotyping monitoring process can achieve plant height monitoring with the root-mean-square error (RMSE) of 0.051 m and the mean absolute error (MAE) of 0.049 m through remote RGB-D (red, green, blue plus depth data) cameras and 3D reconstruction method. This study shows that the proposed system can provide valuable real-time plant information for farmers’ decision-making.