ORAL - International Conference of Agricultural Engineering

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database and the modification of eKo data acquisition system enabled to store and managedata collected from both Field Server and eKo in the same database. This progress mademanagement and utilization of data easier, and enabled to merge data collected fromdifferent devices on the web.3.3. Web ApplicationData acquired by Field Server were used in the web application. This software wasdeveloped as a web application and consists of four pages. One is the current data reference.It displays the latest numerical data and the latest image. Second one is the reference ofdata archive. It enables to put images on a calendar by selecting year, month and time. Inaddition, temperature and relative humidity acquired by Field Server are displayed accordingto the selected time, and an image slideshow displays the one-day change. On this page,moreover, users can browse a graph of sensed data (Togami et al., 2010b).Web pages for eKo data enable us to check the operation of sensors. One example of webpage displaying the data graphically was shown in Fig. 5. Soil moisture values measured ateach sensor node location were coupled with precipitation obtained by weather station anddisplayed in graph form in neat chronological order in terms of supporting proper irrigationmanagement. Additionally, ambient temperature, humidity, amount of sunlight andprecipitation were packed as field representative data and displayed graphically. Thesegraphs also enable to display data by the period described for Field Server software anddisplayed data can be downloaded in CSV format.FIGURE 5: Graphical representation of soil moisture and precipitationThe web application was developed to display numerical data of seasonal period of timecollected by both Field Server and the weather station. This web application was createdbased on the weather observation statistics mentioned in earlier section. Therefore, thisapplication was designed to provide past data by hourly, daily, monthly, seasonally andyearly, and AMeDAS based local data becomes available for users (Togami et al, 2011a).4. ConclusionThe system was constructed in consideration of precise soil water management in theorchard. Therefore, installation positions of sensor nodes, application of sensors and data
utilization were examined based on the soil moisture distribution map. We attempted theapplication of sensors from the plant physiological and farmer’s perspective. Both attemptsdescribed in this paper showed that more of the studies on collecting high precision data, therelation between the data and plant or fruits are much more required. In addition to thecollection of accurate data, it was revealed that the suitable usage of sensors in Japaneseagricultural fields, especially soil moisture sensors should be established.We developed web application software providing data to users. The application wasdesigned to enable users for monitoring field, referring past data in both numerical andgraphic representations, and download data. Additionally, AMeDAS based data representingwebpage was developed for satisfying one of the farmer’s needs. By this attempt, we couldpresent one of the examples showing merging and utilizing data collected by differentdevices on the web. However, it was clarified that more of the studies on data utilizationbased on plant physiology are necessary for cultivation support and high quality mandarinproduction. Additionally, transforming from implicit knowledge into formal knowledge is alsonecessary. Then, web application should be developed with the composition of visual andcomprehensive information from the database and the mathematical models, and it shouldprovide users information for intuitive operation. Furthermore, sensor network and webapplication could also be applicable for smart viticulture management (Togami et al., 2011b).AcknowledgementsThis work was supported by KAKENHI (Grant-in-Aid for Scientific Research (B) 21380161).We also acknowledge financial support from MAFF for the execution of these studies.Reference listFujita, A., Nakamura, M., & Kameoka, T. (2011). Soil Moisture Measurementto SupportProduction of High-Quality Oranges for Information and Communication Technology (ICT)Application in Production Orchards(in Japanese), Agricultural Information Research (Japan),20(3), 86-94.Fukatsu, T., & Hirafuji, M. (2005). Field Monitoring Using Sensor-Nodes with a Web Server,Journal of Robotics and Mechatronics,17, 164-172.Irmak, S., J. O. Payero, D. E. Eisenhauer, W. L. Kranz, D. L. Martin, G. L. Zoubek, Rees, J.M., VanDeWalle, B., Christiansen, A. P., & Leininger, D. (2006). Watermark granular matrixsensor to measure soil matric potential for irrigation management, University of NebraskaEXTENSION, EC783:1-8.Togami, T., Motonaga, Y., Ito, R., Hashimoto, A., Kameoka, T., & Nakamoto, T. (2010a). Aweb strategy for cultural inheritance centered on agriculture case study approach: The OliveProject in Shodoshima Japan. In Ishida, T. (Ed.) Culture and Computing (pp. 200-213).Berlin: Springer.Togami, T., Sakakibara, Y., Yamamoto, K., Kimura, Y., Ito, R., Hashimoto, A., & Kameoka, T.(2010b). Visual guideware as an information tool in the farm, Proceedings of SICE AnnualConference 2010, 2910-2914.Togami, T., Ito, R., Hashimoto, A., & Kameoka, T. (2011a). Agro-Environmental MonitoringUsing A Wireless Sensor Network to Support Production of High Quality Mandarin Oranges(in Japanese), Agricultural Information Research (Japan), 20(3), 110-121.Togami, T., Yamamoto, K., Hashimoto, A., Watanabe, N., Takata, K., Nagai, H., & Kameoka,T. (2011b). A Wireless Sensor Network in A Vineyard for Smart Viticultural Management,Proceedings of SICE Annual Conference 2011, 2450-2454.
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