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In labor tracking/management, accurate work area information and completion status of each activity are basically determined by work result report from workers, either given orally or using a system. Therefore, one major problem with this approach is that the actual degrees and process of work completion in multiple plantations cannot be grasped in real-time. In this study, we designed a system that can grasp the current status of each work in multiple agricultural fields in real-time by using GPS, wireless sensors, et al. With this detailed information, managers expected to establish and adjust next schedules, store and analyze multidimensional information. [ABSTRACT FROM PUBLISHER]

This paper proposes an open software platform architecture to provide semantic information collected from various sensor networks and sensing devices. Semantically expressed sensing information and metadata of sensing devices can improve reusability of sensing data, therefore general consumers as well as the restricted user can observe, monitor and analyze sensing values from pre-installed sensing devices. [ABSTRACT FROM PUBLISHER]