Abstract This paper presents an in situ calibration method for an uncooled thermal camera to reduce bias and root mean square error (RMSE) for the observed surface temperatures of Gerbera jamesonii plants. Surface temperature bias and RMSE were quantified for the calibrated camera constants and compared with respect to the default constant statistics. The averaged calibrated camera constant bias and RMSE values decreased by at least 89.1% relative to the averaged default camera constant bias and RMSE values for individual plant stems and flowers. This calibration approach has the potential to be suitable for other uncooled thermal cameras in fields beyond horticultural applications.

中文翻译：

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用于准确量化花和茎表面温度的非制冷热像仪的原位校准

摘要 本文提出了一种非制冷热像仪的原位校准方法，以减少非洲菊植物观测表面温度的偏差和均方根误差 (RMSE)。表面温度偏差和 RMSE 针对校准的相机常数进行量化，并与默认常数统计数据进行比较。相对于单个植物茎和花的平均默认相机常数偏差和 RMSE 值，平均校准相机常数偏差和 RMSE 值降低了至少 89.1%。这种校准方法有可能适用于园艺应用以外领域的其他非制冷热像仪。