Using artificial intelligence and data fusion for environmental monitoring: A review and future perspectives
Analyzing satellite images and remote sensing (RS) data using artificial intelligence (AI)
tools and data fusion strategies has recently opened new perspectives for environmental …
tools and data fusion strategies has recently opened new perspectives for environmental …
Precision restoration: a necessary approach to foster forest recovery in the 21st century
Forest restoration is currently a primary objective in environmental management policies at a
global scale, to the extent that impressive initiatives and commitments have been launched …
global scale, to the extent that impressive initiatives and commitments have been launched …
Automated tree-crown and height detection in a young forest plantation using mask region-based convolutional neural network (Mask R-CNN)
Tree-crown and height are primary tree measurements in forest inventory. Convolutional
neural networks (CNNs) are a class of neural networks, which can be used in forest …
neural networks (CNNs) are a class of neural networks, which can be used in forest …
Olive tree biovolume from UAV multi-resolution image segmentation with mask R-CNN
Olive tree growing is an important economic activity in many countries, mostly in the
Mediterranean Basin, Argentina, Chile, Australia, and California. Although recent …
Mediterranean Basin, Argentina, Chile, Australia, and California. Although recent …
Insight on current advances in food science and technology for feeding the world population
While the world population is steadily increasing, the capacity of Earth to renew its resources
is continuously declining. Consequently, the bioresources required for food production are …
is continuously declining. Consequently, the bioresources required for food production are …
Comparison of classical methods and mask R-CNN for automatic tree detection and map** using UAV imagery
Detecting and map** individual trees accurately and automatically from remote sensing
images is of great significance for precision forest management. Many algorithms, including …
images is of great significance for precision forest management. Many algorithms, including …
Remote sensing for monitoring tropical dryland forests: A review of current research, knowledge gaps and future directions for Southern Africa
Climate change, manifest via rising temperatures, extreme drought, and associated
anthropogenic activities, has a negative impact on the health and development of tropical …
anthropogenic activities, has a negative impact on the health and development of tropical …
A combination of OBIA and random forest based on visible UAV remote sensing for accurately extracted information about weeds in areas with different weed …
C Feng, W Zhang, H Deng, L Dong, H Zhang, L Tang… - Remote Sensing, 2023 - mdpi.com
Weeds have a significant impact on the growth of rice. Accurate information about weed
infestations can provide farmers with important information to facilitate the precise use of …
infestations can provide farmers with important information to facilitate the precise use of …
[HTML][HTML] Study on transfer learning ability for classifying marsh vegetation with multi-sensor images using DeepLabV3+ and HRNet deep learning algorithms
The verification of the transfer learning ability of the convolutional neural network in the
classification of natural vegetation is relatively lacking. In this paper, 16 combination …
classification of natural vegetation is relatively lacking. In this paper, 16 combination …
A novel method for detecting and delineating coppice trees in UAV images to monitor tree decline
Monitoring tree decline in arid and semi-arid zones requires methods that can provide up-to-
date and accurate information on the health status of the trees at single-tree and sample plot …
date and accurate information on the health status of the trees at single-tree and sample plot …