[HTML][HTML] Exploring artificial intelligence for applications of drones in forest ecology and management

A Buchelt, A Adrowitzer, P Kieseberg, C Gollob… - Forest Ecology and …, 2024 - Elsevier
This paper highlights the significance of Artificial Intelligence (AI) in the realm of drone
applications in forestry. Drones have revolutionized various forest operations, and their role …

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 …

LDS-YOLO: A lightweight small object detection method for dead trees from shelter forest

X Wang, Q Zhao, P Jiang, Y Zheng, L Yuan… - … and Electronics in …, 2022 - Elsevier
The detection and location of dead trees are extremely important for the management and
estimating naturalness of the forests, and timely replanting of dead trees can effectively …

Extraction of Olive Crown Based on UAV Visible Images and the U2-Net Deep Learning Model

Z Ye, J Wei, Y Lin, Q Guo, J Zhang, H Zhang, H Deng… - Remote Sensing, 2022 - mdpi.com
Olive trees, which are planted widely in China, are economically significant. Timely and
accurate acquisition of olive tree crown information is vital in monitoring olive tree growth …

Detection the maturity of multi-cultivar olive fruit in orchard environments based on Olive-EfficientDet

X Zhu, F Chen, X Zhang, Y Zheng, X Peng, C Chen - Scientia Horticulturae, 2024 - Elsevier
Olive (Olea europaea L.) fruit maturity detection in orchard environments plays a vital role in
ensuring the quantity and quality of olive oil. However, it is difficult for olive fruit maturity …

Visible and thermal image-based trunk detection with deep learning for forestry mobile robotics

DQ da Silva, FN Dos Santos, AJ Sousa, V Filipe - Journal of imaging, 2021 - mdpi.com
Mobile robotics in forests is currently a hugely important topic due to the recurring
appearance of forest wildfires. Thus, in-site management of forest inventory and biomass is …

Individual tree detection in coal mine afforestation area based on improved Faster RCNN in UAV RGB images

M Luo, Y Tian, S Zhang, L Huang, H Wang, Z Liu… - Remote Sensing, 2022 - mdpi.com
Forests are the most important part of terrestrial ecosystems. In the context of China's
industrialization and urbanization, mining activities have caused huge damage to the forest …

Identification of asbestos slates in buildings based on faster region-based convolutional neural network (faster R-CNN) and drone-based aerial imagery

DM Seo, HJ Woo, MS Kim, WH Hong, IH Kim, SC Baek - Drones, 2022 - mdpi.com
Asbestos is a class 1 carcinogen, and it has become clear that it harms the human body. Its
use has been banned in many countries, and now the investigation and removal of installed …

Crown Width Extraction of Metasequoia glyptostroboides Using Improved YOLOv7 Based on UAV Images

C Dong, C Cai, S Chen, H Xu, L Yang, J Ji, S Huang… - Drones, 2023 - mdpi.com
With the progress of computer vision and the development of unmanned aerial vehicles
(UAVs), UAVs have been widely used in forest resource investigation and tree feature …

Unveiling the Potential of Drone-Borne Optical Imagery in Forest Ecology: A Study on the Recognition and Mapping of Two Evergreen Coniferous Species

K Korznikov, D Kislov, T Petrenko, V Dzizyurova… - Remote Sensing, 2023 - mdpi.com
The use of drone-borne imagery for tree recognition holds high potential in forestry and
ecological studies. Accurate species identification and crown delineation are essential for …