Assessment of an automated digital method to estimate leaf area index ( LAI ) in cherry trees

Abstract

ABSTRACT A study was carried out during two growing seasons to evaluate the performance of a digital photography method to estimate the leaf area index ( LAI D ) of cherry tree cultivars. The trial comprised 10 ‘Bing’ and 10 ‘Sweetheart’ trees where actual leaf area index ( LAI A ) was obtained by defoliation. Estimations of LAI D were obtained by the batch processing of images of the canopy of the same trees which were obtained using a conventional digital RGB camera. Comparisons of LAI A and LAI D averages resulted in a good level of agreement for ‘Sweetheart’ for the two growing seasons (percentage of mean absolute error: MAE% = 10.4%). For ‘Bing’, LAI D was accurate in the first growing season (MAE% = 17.7%), but underestimated by 44% (MAE%) in the second growing season, presumably due to differences observed in the clumping index and the light extinction coefficient. Results evidenced the robustness of this simple method for determining the leaf area index of cherry trees.

Plant phenotyping relevance

サクランボ樹冠の葉面積指数をデジタル画像から推定する手法を開発・評価し、実測値との比較で性能を検証しているため、植物フェノタイピング手法が中心である。

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