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Improving rice leaf area index monitoring accuracy via robot-integrated multi-sensors and meteorological data fusion with explainable machine learning
Computers and Electronics in Agriculture · 18 Feb 2026 · 10.1016/j.compag.2026.111581
Abstract
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Plant phenotyping relevance
ロボット統合型マルチセンサーと機械学習によるイネ葉面積指数（LAI）の推定精度向上が主題であり、植物形質の取得・推定手法が中心である。
titleImproving rice leaf area index monitoring accuracy via robot-integrated multi-sensors and meteorological data fusion with explainable machine learning
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