2006 Fiscal Year Final Research Report Summary
RF-ID SencerBaseField warking Journal management System(2007)
| Project/Area Number |
16580213
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Single-year Grants |
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| Section | 一般 |
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| Research Field |
Agricultural information engineering
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| Research Institution | Ibaraki University |
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Principal Investigator |
MACHIDA Takemi Ibaraki University, College of Agriculture, Professor, 農学部, 教授 (10007685)
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| Project Period (FY) |
2004 – 2006
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| Keywords | RF-ID / IC Tag / Field Working Record / Record Management / Automatic Recording / GAP / Traceability |
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| Research Abstract |
During this study, the information on farm-working record for respective products can be automatically and labor-savingly collected at the production stage by using small none-touch IC chips (RF-ID), a group of sensors utilizing the GPS, and the field servers. Besides collecting the information, the study has another object to accomplish the optimum utilization of information derived from the farm. In this case, the cultivation management and individual work should be most suitable and efficient.
The results of research in 2006 were as follows :
1) The study of adapting methods in which RF-ID tags can be applied to the agricultural site and of accessing information.
Regarding the performance of existing IC tags, the developing situation of RF-ID within Japan on the UHF band, and the case studies of post-harvesting application in foreign countries, the investigation into an additional summary over RF-ID was practiced to collect basic information used in this study.
2) In terms of setting up RF-ID tags and of sensing methods on the UHF band in the space over the farm, the subjects in terms of developing waterproof tags and metal corresponding tags were abstracted
3) The collecting system of working record in the space over the farm was considered so as to examine the conception design regarding the whole system on the farm, which collects data into the server through the radio LAN such as RF-ID reading data, environmental data in the surrounding areas of the server, and location data at the cellular phone from the GPS.
4) In terms of GAP and RF-ID, the material collection as well as the system conception was examined.
5) The study of adapting methods in which Data-Mining can be applied to the agricultural working journal data..
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