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Updated: Sep 9, 2025

O-cresol Concentration Online Measurement Based On Near Infrared Spectroscopy Via Partial Least Square Regression
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機械学習と組み合わせたVis-NIRスペクトロシーによる土壌特性の予測:レビュー

Su Kyeong Shin1, Seung Jun Lee1, Jin Hee Park1

  • 1Department of Environmental and Biological Chemistry, Chungbuk National University, Cheongju 28644, Chungbuk, Republic of Korea.

Sensors (Basel, Switzerland)
|August 28, 2025
PubMed
まとめ

可視近赤外線 (Vis-NIR) スペクトロスコピーは,窒素,リン,カリウムなどの土壌栄養素を推定するための迅速で破壊的でない方法を提供します. Vis-NIRをスペクトルプリプロセッシングと機械学習と組み合わせることで,持続可能な農業における効率的でサイト固有の栄養管理の精度が向上します.

キーワード:
Vis-NIRスペクトロシーデータの事前処理機械学習精密農業についてリアルタイム測定土壌の栄養素

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