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  1. JIRCAS Working Report
  2. No. 90

Toward efficient farm management with remote sensing technologies in lowland rice fields in Laos

https://doi.org/10.34556/0002000388
https://doi.org/10.34556/0002000388
67000f04-409b-4ab4-bbee-ed36f2f3df88
名前 / ファイル ライセンス アクション
jircas_working_report90-_15-22.pdf jircas_working_report90-_15-22 (2.3MB)
Item type 国際農研デフォルトアイテムタイプ(フル)(1)
公開日 2024-07-18
タイトル
タイトル Toward efficient farm management with remote sensing technologies in lowland rice fields in Laos
言語 en
作成者 Kawamura, Kensuke

× Kawamura, Kensuke

en Kawamura, Kensuke

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Ikeura, Hiroshi

× Ikeura, Hiroshi

en Ikeura, Hiroshi

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Matsumoto, Naruo

× Matsumoto, Naruo

en Matsumoto, Naruo

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Asai, Hidetoshi

× Asai, Hidetoshi

en Asai, Hidetoshi

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Phongchanmixay, Sengthong

× Phongchanmixay, Sengthong

en Phongchanmixay, Sengthong

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Khanthavong, Phanthasin

× Khanthavong, Phanthasin

en Khanthavong, Phanthasin

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Souvannasing, Soukasdachanh

× Souvannasing, Soukasdachanh

en Souvannasing, Soukasdachanh

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Inthavong, Thavone

× Inthavong, Thavone

en Inthavong, Thavone

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アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
内容記述
内容記述タイプ Other
内容記述 This paper reports our current activities in Laos for monitoring rice production with remote sensing technologies in lowland field toward efficient farm management at small farm scale (<1 km2) or local scale (village, <100 km2). At farm scale (Research 1), the grain yield of lowland rice was evaluated from field hyperspectral data of paddy fields during the reproductive stage to the ripening stage in conjunction with iterative stepwise elimination partial least squares (ISE-PLS) regression. At local scale (Research 2), we established a land infrastructure data set in a lowland rice field at Koudkher village combining with UAV images and geographic information system (GIS) in order to assess the potential yield and its environmental effects. In Research 1, the highest R2 values and the lowest root mean squared error of cross-validation (RMSECV) values were obtained from the ISEPLS model at the booting stage (R2 = 0.873, RMSECV = 22.903); the residual predictive deviation was >2.4. Selected hyperspectral (HS) wavebands in the ISE-PLS model were identified in the rededge (710–740 nm) and near-infrared (830 nm) regions. These results confirmed that the booting stage might be the best time for in-season rice grain assessment and that rice yield could be evaluated accurately from the HS sensing data via the ISE-PLS model. In Research 2, a GIS-based land infrastructure information dataset was established in rain-fed paddy field (Koudkher village) from UAV images and digital terrain model. Using the data set, Ikeura et al. (2019) assessed the relationship between rice yield and water/soil conditions in the rainfed rice fields in Koudkher village.
言語 en
出版者
出版者 Japan International Research Center for Agricultural Sciences
言語
言語 eng
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_3248
資源タイプ book part
出版タイプ
出版タイプ VoR
出版タイプResource http://purl.org/coar/version/c_970fb48d4fbd8a85
ID登録
ID登録 10.34556/0002000388
ID登録タイプ JaLC
関連情報
関連タイプ isPartOf
識別子タイプ DOI
関連識別子 https://doi.org/10.34556/0002000382
関連名称 Potential and Efficiency of Underused Agricultural and Fishery Resources in Laos
収録物識別子
収録物識別子タイプ PISSN
収録物識別子 1341-710X
収録物識別子
収録物識別子タイプ NCID
収録物識別子 AA11159468
書誌情報 en : JIRCAS Working Report : Potential and Efficiency of Underused Agricultural and Fishery Resources in Laos

巻 90, p. 15-22, 発行日 2020-03-19
位置情報
位置情報(自由記述) Laos
位置情報(自由記述) ラオス
助成情報
識別子タイプ Crossref Funder
助成機関識別子 https://doi.org/10.13039/501100009472
助成機関名 Japan International Research Center for Agricultural Sciences(en)
研究課題番号URI https://www.jircas.go.jp/en/program/program_c/c1
研究課題番号 C1
研究課題名 Formation of food value chain through value addition of food resources to support sustainable rural development [Value-adding technology : Food value chain](en)
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