Faba bean above-ground biomass and bean yield estimation based on consumer-grade unmanned aerial vehicle RGB images and ensemble learning

Y Ji, R Liu, Y Xiao, Y Cui, Z Chen, X Zong, T Yang - Precision Agriculture, 2023 - Springer
Accurately and economically estimated crop above-ground biomass (AGB) and bean yield
(BY) are critical for cultivation management in precision agriculture. Unmanned aerial …

Ormancılıkta makine öğrenmesi kullanımı

R Eker, KC Alkiş, Z Uçar, A Aydın - Turkish Journal of Forestry, 2023 - dergipark.org.tr
Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …

Prediction of road transport of wood in Uruguay: approach with machine learning

RO Almeida, RA Munis, DA Camargo, T da Silva… - Forests, 2022 - mdpi.com
Among the activities that burden capital in the supply chain of forest-based industries, the
activity of road transport of wood deserves to be highlighted. Machine learning techniques …

[HTML][HTML] Estimation of above-ground biomass using machine learning approaches with InSAR and LiDAR data in tropical peat swamp forest of Brunei Darussalam

E Zadbagher, AM Marangoz, K Becek - iForest-Biogeosciences and …, 2024 - iforest.sisef.org
Forest above-ground biomass (AGB) is one of the critical measures of forest resources.
Therefore, it is crucial to identify a reliable method to estimate the AGB, especially in the …

Prediction of Regional Forest Biomass Using Machine Learning: A Case Study of Beijing, China

J Liu, C Yue, C Pei, X Li, Q Zhang - Forests, 2023 - mdpi.com
Dynamic changes in forest biomass are closely related to the carbon cycle, climate change,
forest productivity and biodiversity. However, most previous studies mainly focused on the …

[HTML][HTML] Combining residual convolutional LSTM with attention mechanisms for spatiotemporal forest cover prediction

B Liu, S Chen, L Gao - Environmental Modelling & Software, 2025 - Elsevier
Understanding spatiotemporal variations in forest cover is crucial for effective forest resource
management. However, existing models often lack accuracy in simultaneously capturing …

[HTML][HTML] Improving plot-level above ground biomass estimation in tropical Indian forests

R Fararoda, RS Reddy, G Rajashekar… - Ecological …, 2024 - Elsevier
Accurate plot-level estimates of above ground biomass (AGB) are crucial for reducing
uncertainty in spatial AGB quantification, a key requirement for Reducing Emissions from …

Field-independent carbon mapping and quantification in forest plantation through remote sensing

S Francini, E Vangi, G D'Amico, C Borghi… - European Journal of …, 2024 - Taylor & Francis
Quantifying the carbon-stocking contribution of forest plantations is a crucial but challenging
and expensive process, usually performed through field analysis. For this reason …

Improving obesogenic environmental assessments with advanced geospatial methods

S Dai - 2024 - research.utwente.nl
This thesis explores the intricate connections between the envir-onment and obesity. It
develops and applies advanced geospatial methods to enhance the assessment of …

[PDF][PDF] Modeling Changes in Understory Point Density as a Proxy for Biomass Using Lidar Point Cloud Data

W Burton - 2024 - experts.esf.edu
Biomass modeling using LiDAR has become a staple in estimating aboveground carbon for
carbon offsetting projects. These models are primarily trained with data from mature trees …