Deep learning in forestry using uav-acquired rgb data: A practical review
Forests are the planet's main CO 2 filtering agent as well as important economical,
environmental and social assets. Climate change is exerting an increased stress, resulting …
environmental and social assets. Climate change is exerting an increased stress, resulting …
Towards UAVs in construction: advancements, challenges, and future directions for monitoring and inspection
The use of UAVs for monitoring and inspection in the construction industry has garnered
considerable attention in recent years due to their potential to enhance safety, efficiency …
considerable attention in recent years due to their potential to enhance safety, efficiency …
A new steel defect detection algorithm based on deep learning
W Zhao, F Chen, H Huang, D Li… - Computational …, 2021 - Wiley Online Library
In recent years, more and more scholars devoted themselves to the research of the target
detection algorithm due to the continuous development of deep learning. Among them, the …
detection algorithm due to the continuous development of deep learning. Among them, the …
A systematic review of individual tree crown detection and delineation with convolutional neural networks (CNN)
H Zhao, J Morgenroth, G Pearse, J Schindler - Current Forestry Reports, 2023 - Springer
Abstract Purpose of Review Crown detection and measurement at the individual tree level
provide detailed information for accurate forest management. To efficiently acquire such …
provide detailed information for accurate forest management. To efficiently acquire such …
A deep-learning-based approach for wheat yellow rust disease recognition from unmanned aerial vehicle images
Q Pan, M Gao, P Wu, J Yan, S Li - Sensors, 2021 - mdpi.com
Yellow rust is a disease with a wide range that causes great damage to wheat. The
traditional method of manually identifying wheat yellow rust is very inefficient. To improve …
traditional method of manually identifying wheat yellow rust is very inefficient. To improve …
Accurate delineation of individual tree crowns in tropical forests from aerial RGB imagery using Mask R‐CNN
Tropical forests are a major component of the global carbon cycle and home to two‐thirds of
terrestrial species. Upper‐canopy trees store the majority of forest carbon and can be …
terrestrial species. Upper‐canopy trees store the majority of forest carbon and can be …
Latest trends on tree classification and segmentation using UAV data—a review of agroforestry applications
When it comes to forest management and protection, knowledge is key. Therefore, forest
mapping is crucial to obtain the required knowledge towards profitable resource exploitation …
mapping is crucial to obtain the required knowledge towards profitable resource exploitation …
A survey of computer vision techniques for forest characterization and carbon monitoring tasks
Estimation of terrestrial carbon balance is one of the key tasks in the understanding and
prognosis of climate change impacts and the development of tools and policies according to …
prognosis of climate change impacts and the development of tools and policies according to …
Deep convolutional neural network for large-scale date palm tree mapping from UAV-based images
Large-scale mapping of date palm trees is vital for their consistent monitoring and
sustainable management, considering their substantial commercial, environmental, and …
sustainable management, considering their substantial commercial, environmental, and …
[HTML][HTML] Counting trees in a subtropical mega city using the instance segmentation method
Counting the trees in a given area or city is meaningful when making decisions for
government policies and administration, including the international afforestation effort (ie …
government policies and administration, including the international afforestation effort (ie …