Estimation of sugar beet yield based on soil type through analysis of satellite data

Material type: 文書・図像類

Author: HONGO, Chiharuほか

Publisher: Chiba University. Center for Environmental Remote Sensing

Publication date: 2009-12-15

Material Format: Digital

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Note (General)：: type:text[ABSTRACT]In order to assess the fe asibility of developing an efficient su gar beet cultivation support system to effectively reduce the cos...

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Material Type: 文書・図像類
Title: Estimation of sugar beet yield based on soil type through analysis of satellite data
Author/Editor: HONGO, Chiharu
NIWA, Katsuhisa
Author Heading: HONGO, Chiharu
NIWA, Katsuhisa
Publication, Distribution, etc.: Chiba University. Center for Environmental Remote Sensing
Publication Date: 2009-12-15
Publication Date (W3CDTF): 2009-12-15
Periodical title: Proceedings of the CEReS international symposium = CEReS国際シンポジウム資料集
No. or year of volume/issue: 15
Volume: 15
Pages: 68-75
Text Language Code: eng
Target Audience: 一般
Note (General): type:text
[ABSTRACT]In order to assess the fe asibility of developing an efficient su gar beet cultivation support system to effectively reduce the costs of beet cultivation, beet collection and sugar production using an agricultural spatial information, and also to predict the root yield_ of sugar beet three months before the harvesting season, an analysis of satellite data and meteorological data was carried out in this study. For predicting the root yield of sugar ・ beet, the analysis of th e grow th was conducted around the town of Memuro, Hokkaido, Japan. The cumulative temperature (T), cumulative rainfall (P) and cumulative solar radiation (R) from the end of April to the middle of July were selected as the predictors of the root yield (RY) prediction formula. RY=0.043675R+0.02783T-1.09513P-39.634(r2=0.87**) The predictive error was 3. 8t/ha, that was the resu It calculated by the farmers group, after weighted to the predicted root yield using NDVI which was derived from SPOTS satellite data. The results suggest that it was possible to predict the root yield before three months of harvesting season. By providing sue h result to sugar companies in m uch earlier before harvesting, the sugar beet collection and sugar production efficiency will be increased.
Format (IMT): application/pdf
Source: https://opac.ll.chiba-u.jp/da/curator/104371/BB01446232-15-P068.pdf
https://opac.ll.chiba-u.jp/da/curator/104371/BB01446232-15-P068.pdf
Access Restrictions: 限定公開
Related Material (NCID): BB01446232
https://ci.nii.ac.jp/ncid/BB01446232
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 千葉大学 : 千葉大学学術成果リポジトリ