Sensing and Artificial Perception for Robots in Precision Forestry: A Survey

JF Ferreira, D Portugal, ME Andrada, P Machado… - Robotics, 2023 - mdpi.com
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 …

[HTML][HTML] The quest to develop automated systems for monitoring animal behavior

JM Siegford, JP Steibel, J Han, M Benjamin… - Applied Animal …, 2023 - Elsevier
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 …

Identifying common stored product insects using automated deep learning methods

CM Badgujar, PR Armstrong, AR Gerken… - Journal of Stored …, 2023 - Elsevier
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 …

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 …

AI applications in forest monitoring need remote sensing benchmark datasets

ER Lines, M Allen, C Cabo, K Calders… - … Conference on Big …, 2022 - ieeexplore.ieee.org
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 …

OpenForest: A data catalogue for machine learning in forest monitoring

A Ouaknine, T Kattenborn, E Laliberté… - arxiv preprint arxiv …, 2023 - arxiv.org
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 …

[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 …

[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) …

Finnwoodlands dataset

J Lagos, U Lempiö, E Rahtu - Scandinavian Conference on Image …, 2023 - Springer
While the availability of large and diverse datasets has contributed to significant
breakthroughs in autonomous driving and indoor applications, forestry applications are still …

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 …