Design and Implementation of Anomaly Condition Detection in Agricultural IoT Platform System

In recent years, with the rapid development of the Internet of Things (IoT), individuals, industry, and agriculture have begun to apply this technology to solve the difficulties encountered. IoT makes data collection more convenient, enabling us to monitor environmental information and control from a remote location. The demand of IoT in agriculture has also increased in Taiwan. We can use the data collected from the farm to do many analysis and application to solve the problems encountered by farmers at work. However, when the sensor data is abnormal, we can't know it instantly. This situation may be an anomaly situation in the farm environment and needs to be dealt with in a timely manner. Therefore, we implement an appropriate anomaly data detection system to find out the sensor that has an anomaly phenomenon. Compared with existing implementation, we consider not only the single data but also all kind of same type data simultaneously. When we find out the anomaly situation, our IoT platform will notify the farmer the information of the time, the situation and the possible anomaly condition to help the farmers find out the problems in the farm. By detecting anomaly data, it can help reduce farm losses due to environmental or human-induced