Environmental change point analysis and its application to agriculture

研究成果: 会議への寄与タイプ論文

抄録

Field environmental information such as air temperature, humidity, and solar radiation would be important not only for evaluation of crop growth progress, status and quality or the occurrence of pests and diseases, but also for optimization of agricultural production processes such as plating, irrigation, fertilization, pest control, and harvesting. However, measured data stored in an agricultural information database, would be vast data with the increase in the number of monitoring devices and sensors installed in such devices. Thus, in order to extract feature values from such vast data, it is necessary to develop some numerical technologies and methods. In this study, the change point analysis based on Singular Spectrum Transformation (SST) was applied for extracting the difference of cultivation environmental conditions in each the tomato greenhouse. The change point scores were detected from the change of CO2 concentration data clearly. They agreed well with the farm work history recorded by a corporative farmer.

元の言語英語
ページ2425-2428
ページ数4
出版物ステータス出版済み - 1 1 2013
イベント2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 - Nagoya, 日本
継続期間: 9 14 20139 17 2013

その他

その他2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013
日本
Nagoya
期間9/14/139/17/13

Fingerprint

Pest control
Greenhouses
Solar radiation
Plating
Irrigation
Agriculture
Farms
Crops
Atmospheric humidity
Monitoring
Sensors
Air
Temperature

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Computer Science Applications
  • Electrical and Electronic Engineering

これを引用

Okayasu, T., Nugroho, A. P., Arita, D., Ozaki, A., Muneshi, M., Nanseki, T., ... Yasumaru, H. (2013). Environmental change point analysis and its application to agriculture. 2425-2428. 論文発表場所 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, 日本.

Environmental change point analysis and its application to agriculture. / Okayasu, Takashi; Nugroho, Andri Prima; Arita, Daisaku; Ozaki, Akinori; Muneshi, Mitsuoka; Nanseki, Teruaki; Inoue, Eiji; Yasumaru, Hirai.

2013. 2425-2428 論文発表場所 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, 日本.

研究成果: 会議への寄与タイプ論文

Okayasu, T, Nugroho, AP, Arita, D, Ozaki, A, Muneshi, M, Nanseki, T, Inoue, E & Yasumaru, H 2013, 'Environmental change point analysis and its application to agriculture' 論文発表場所 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, 日本, 9/14/13 - 9/17/13, pp. 2425-2428.
Okayasu T, Nugroho AP, Arita D, Ozaki A, Muneshi M, Nanseki T その他. Environmental change point analysis and its application to agriculture. 2013. 論文発表場所 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, 日本.
Okayasu, Takashi ; Nugroho, Andri Prima ; Arita, Daisaku ; Ozaki, Akinori ; Muneshi, Mitsuoka ; Nanseki, Teruaki ; Inoue, Eiji ; Yasumaru, Hirai. / Environmental change point analysis and its application to agriculture. 論文発表場所 2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013, Nagoya, 日本.4 p.
@conference{cd5aabb52f3e4894be3d680e1c7d3c7a,
title = "Environmental change point analysis and its application to agriculture",
abstract = "Field environmental information such as air temperature, humidity, and solar radiation would be important not only for evaluation of crop growth progress, status and quality or the occurrence of pests and diseases, but also for optimization of agricultural production processes such as plating, irrigation, fertilization, pest control, and harvesting. However, measured data stored in an agricultural information database, would be vast data with the increase in the number of monitoring devices and sensors installed in such devices. Thus, in order to extract feature values from such vast data, it is necessary to develop some numerical technologies and methods. In this study, the change point analysis based on Singular Spectrum Transformation (SST) was applied for extracting the difference of cultivation environmental conditions in each the tomato greenhouse. The change point scores were detected from the change of CO2 concentration data clearly. They agreed well with the farm work history recorded by a corporative farmer.",
author = "Takashi Okayasu and Nugroho, {Andri Prima} and Daisaku Arita and Akinori Ozaki and Mitsuoka Muneshi and Teruaki Nanseki and Eiji Inoue and Hirai Yasumaru",
year = "2013",
month = "1",
day = "1",
language = "English",
pages = "2425--2428",
note = "2013 52nd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2013 ; Conference date: 14-09-2013 Through 17-09-2013",

}

TY - CONF

T1 - Environmental change point analysis and its application to agriculture

AU - Okayasu, Takashi

AU - Nugroho, Andri Prima

AU - Arita, Daisaku

AU - Ozaki, Akinori

AU - Muneshi, Mitsuoka

AU - Nanseki, Teruaki

AU - Inoue, Eiji

AU - Yasumaru, Hirai

PY - 2013/1/1

Y1 - 2013/1/1

N2 - Field environmental information such as air temperature, humidity, and solar radiation would be important not only for evaluation of crop growth progress, status and quality or the occurrence of pests and diseases, but also for optimization of agricultural production processes such as plating, irrigation, fertilization, pest control, and harvesting. However, measured data stored in an agricultural information database, would be vast data with the increase in the number of monitoring devices and sensors installed in such devices. Thus, in order to extract feature values from such vast data, it is necessary to develop some numerical technologies and methods. In this study, the change point analysis based on Singular Spectrum Transformation (SST) was applied for extracting the difference of cultivation environmental conditions in each the tomato greenhouse. The change point scores were detected from the change of CO2 concentration data clearly. They agreed well with the farm work history recorded by a corporative farmer.

AB - Field environmental information such as air temperature, humidity, and solar radiation would be important not only for evaluation of crop growth progress, status and quality or the occurrence of pests and diseases, but also for optimization of agricultural production processes such as plating, irrigation, fertilization, pest control, and harvesting. However, measured data stored in an agricultural information database, would be vast data with the increase in the number of monitoring devices and sensors installed in such devices. Thus, in order to extract feature values from such vast data, it is necessary to develop some numerical technologies and methods. In this study, the change point analysis based on Singular Spectrum Transformation (SST) was applied for extracting the difference of cultivation environmental conditions in each the tomato greenhouse. The change point scores were detected from the change of CO2 concentration data clearly. They agreed well with the farm work history recorded by a corporative farmer.

UR - http://www.scopus.com/inward/record.url?scp=84888622774&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84888622774&partnerID=8YFLogxK

M3 - Paper

SP - 2425

EP - 2428

ER -