Recently, various IT technologies are utilized to support crop growth management. In farming field, dynamic data analysis while moving is cost efficient tool to farmer. Unlike previous works that not support dynamic analysis, mobile devices need to acquire the most recent data from nearest sensor for efficient processing in mobile device. In this paper, we designed the dynamic crop field analysis methods using mobile sensor node. Using the mobile sensor node, field analysis such as trend, correlation and summary has become more efficient by using dynamic data search and comparing. We implement mobile sensor node and dynamic field analysis application on Win Mobile 6 PDA and evaluated the usefulness in large scale outdoor test-bed of a vineyard in Napa valley.

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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.