Sensing and Artificial Perception for Robots in Precision Forestry: A Survey
Artificial perception for robots operating in outdoor natural environments, including forest
scenarios, has been the object of a substantial amount of research for decades. Regardless …
scenarios, has been the object of a substantial amount of research for decades. Regardless …
[HTML][HTML] The quest to develop automated systems for monitoring animal behavior
Automated behavior analysis (ABA) strategies are being researched at a rapid rate to detect
an array of behaviors across a range of species. There is growing optimism that soon …
an array of behaviors across a range of species. There is growing optimism that soon …
Identifying common stored product insects using automated deep learning methods
Monitoring stored product insect pests is a common practice for post-harvest management of
stored grain and grain-based commodities, which helps ensure product quality from harvest …
stored grain and grain-based commodities, which helps ensure product quality from harvest …
A novel method for tomato stem diameter measurement based on improved YOLOv8-seg and RGB-D data
Z Qi, W Hua, Z Zhang, X Deng, T Yuan… - … and Electronics in …, 2024 - Elsevier
The automatic acquisition of crop information can promote the rapid development of
precision agriculture. Tomatoes, as a representative greenhouse crop, can demonstrate …
precision agriculture. Tomatoes, as a representative greenhouse crop, can demonstrate …
AI applications in forest monitoring need remote sensing benchmark datasets
With the rise in high resolution remote sensing technologies there has been an explosion in
the amount of data available for forest monitoring, and an accompanying growth in artificial …
the amount of data available for forest monitoring, and an accompanying growth in artificial …
OpenForest: A data catalogue for machine learning in forest monitoring
Forests play a crucial role in Earth's system processes and provide a suite of social and
economic ecosystem services, but are significantly impacted by human activities, leading to …
economic ecosystem services, but are significantly impacted by human activities, leading to …
[HTML][HTML] Tree trunk detection in urban scenes using a multiscale attention-based deep learning method
R Li, GD Sun, S Wang, TZ Tan, F Xu - Ecological Informatics, 2023 - Elsevier
Precise identification of tree trunks contributes to the understanding of urban green
dynamics. Previous attempts to develop tree trunk detection methods have faced limitations …
dynamics. Previous attempts to develop tree trunk detection methods have faced limitations …
[HTML][HTML] An advanced software platform and algorithmic framework for mobile dbh data acquisition
J Zhang, H Liang, S Tong, Y Zhou, J Kan - Forests, 2023 - mdpi.com
Rapid and precise tree Diameter at Breast Height (DBH) measurement is pivotal in forest
inventories. While the recent advancements in LiDAR and Structure from Motion (SFM) …
inventories. While the recent advancements in LiDAR and Structure from Motion (SFM) …
Finnwoodlands dataset
While the availability of large and diverse datasets has contributed to significant
breakthroughs in autonomous driving and indoor applications, forestry applications are still …
breakthroughs in autonomous driving and indoor applications, forestry applications are still …
Ormancılıkta makine öğrenmesi kullanımı
Gelişen teknolojiyle beraber diğer disiplinlerde olduğu gibi ormancılıkta da geleneksel
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …
uygulamaların daha ekonomik, etkin, hızlı ve kolay yapılabilmesi için yenilikçi yaklaşımların …