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Feature Extraction of Field Environmental Information Using the Change Point Analysis Method
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- Okayasu Takashi
- Faculty of Agriculture, Kyushu University
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- Prima Nugroho Andri
- Graduate School of Bio-resource and Bio-environmental Sciences, Kyushu University
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- Ozaki Akinori
- Faculty of Agriculture, Kyushu University
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- Mitsuoka Muneshi
- Faculty of Agriculture, Kyushu University
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- Nanseki Teruaki
- Faculty of Agriculture, Kyushu University
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- Inoue Eiji
- Faculty of Agriculture, Kyushu University
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- Hirai Yasumaru
- Faculty of Agriculture, Kyushu University
Bibliographic Information
- Other Title
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- 変化点分析法を用いた圃場環境情報の特徴量抽出とその妥当性の検証
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Description
Environmental data are measured and collected by simple monitoring devices installed in agricultural fields. These data are very important not only for understanding and predicting factors such as the growth of crops and the occurrence of pests and diseases, but also for optimizing agricultural production processes such as planting, irrigation, fertilization, pest control, and harvesting. However, the amount of data stored in agricultural information databases is rapidly increasing owing to an increase in the number of monitoring devices and sensors installed in such devices. To properly detect characteristic values from such a vast amount of data, it is necessary to develop new numerical technologies and methods. We developed a simple field monitoring system to establish field observations, production optimization, and information sharing between farmers. We also developed and applied a change point analysis program based on the singular spectrum transformation to conduct change point analyses of the field environmental data measured by the monitoring devices. The calculated change point values were then verified through a comparison with farm data recorded by a corporative farmer in the feasibility study.
Journal
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- Agricultural Information Research
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Agricultural Information Research 22 (3), 174-182, 2013
Japanese Society of Agricultural Informatics
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Keywords
Details 詳細情報について
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- CRID
- 1390001204460803968
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- NII Article ID
- 130004488667
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- ISSN
- 18815219
- 09169482
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed