Predicting resprouting of Platanus × hispanica following branch pruning by means of machine learning
Qiguan Shu,
Hadi Yazdi,
Thomas Rötzer
et al.
Abstract:IntroductionResprouting is a crucial survival strategy following the loss of branches, being it by natural events or artificially by pruning. The resprouting prediction on a physiological basis is a highly complex approach. However, trained gardeners try to predict a tree’s resprouting after pruning purely based on their empirical knowledge. In this study, we explore how far such predictions can also be made by machine learning.MethodsTable-topped annually pruned Platanus × hispanica trees at a nursery were Li… Show more
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