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

Abstract
A study was carried out during two growing seasons to evaluate the performance of a digital photography method to estimate the LAI (LAID). The trial consisted in 10 ‘Bing’ and 10 ‘Sweetheart’ trees where actual LAI (LAIA) was obtained by allometric relations. Estimations of LAID were obtained by the batch processing of images of the canopy of the same trees which were obtained by a conventional digital RGB camera. Comparisons of averages LAIA and LAID resulted in a good level of agreement for ‘Sweetheart’ for the two growing seasons (mean absolute percent error: MAE% = 10.4 %). For ‘Bing’, LAID 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 LAI of cherry trees.
CherryLAI

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