AUTHOR=Chen Yuling , Wang Jianming TITLE=Deep learning for crown profile modelling of Pinus yunnanensis secondary forests in Southwest China JOURNAL=Frontiers in Plant Science VOLUME=14 YEAR=2023 URL=https://www.frontiersin.org/journals/plant-science/articles/10.3389/fpls.2023.1093905 DOI=10.3389/fpls.2023.1093905 ISSN=1664-462X ABSTRACT=
Accurate information concerning crown profile is critical in analyzing biological processes and providing a more accurate estimate of carbon balance, which is conducive to sustainable forest management and planning. The similarities between the types of data addressed with LSTM algorithms and crown profile data make a compelling argument for the integration of deep learning into the crown profile modeling. Thus, the aim was to study the application of deep learning method LSTM and its variant algorithms in the crown profile modeling, using the crown profile database from