This study provided a comprehensive evaluation of eight machine learning regression
algorithms for forest aboveground biomass (AGB) estimation from satellite data based on …

Artificial intelligence, an emerging concept, has successfully been applied to bioenergy
systems. However, highly scattered reviews were narrowly associated with either part of …

Implementing a scheduled and reliable estimation of forest characteristics is important for
the sustainable management of forests. This study aimed at evaluating the capability of …

Abstract Background Deep Learning Algorithms (DLA) have become prominent as an
application of Artificial Intelligence (AI) Techniques since 2010. This paper introduces the …

Modelling tree height-diameter relationships in complex tropical rain forest ecosystems
remains a challenge because of characteristics of multi-species, multi-layers, and …

In the present batch study, eucalyptus leaves (EUL), H2SO4‐treated eucalyptus leaves
(SEUL), and H3PO4‐treated eucalyptus leaves (PEUL) are used as bio‐adsorbents for the …

In recent years, research on blue carbon (C) has garnered substantial attention worldwide.
Nevertheless, we observed a lack of holistic approach, in terms of measurement of total blue …

Forest biomass is a foundation for evaluating the contribution to the carbon cycle of forests,
and improving biomass estimation accuracy is an urgent problem to be addressed …

Wood products and energy production originating from harnessing the tree biomass require
optimizing the forest management process so as to ensure the sustainability of the forest …

Antrodia cinnamomea (A. cinnamomea) faces the challenge of coping with commercial
usage in formulating nutraceuticals and functional foods in Taiwan. This research aimed to …