Results 141 to 150 of about 35,558 (273)

A UAV‐based deep learning pipeline for intertidal macrobenthos monitoring: Behavioral and age classification in Tachypleus tridentatus

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
The endangered tri‐spine horseshoe crab (Tachypleus tridentatus), a “living fossil” crucial to coastal ecology and biomedical research, is experiencing severe population declines. Effective conservation requires efficient monitoring, which traditional methods cannot deliver at scale. We develop an integrated UAV deep learning framework tailored to this
Xiaohai Chen   +7 more
wiley   +1 more source

Towards Energy-Aware Feedback Planning for Long-Range Autonomous Underwater Vehicles. [PDF]

open access: yesFront Robot AI, 2021
Alam T   +5 more
europepmc   +1 more source

Robotics‐assisted acoustic surveys could deliver reliable, landscape‐level biodiversity insights

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Deploying and maintaining sensors is often a major bottleneck in collecting rapid biodiversity data. We tested whether autonomous hopping drones equipped with acoustic recorders could collect reliable biodiversity data in Costa Rica. Using 26,000+ hours of existing audio from 341 sites, with machine learning detections of 19 bird species and spider ...
Peggy A. Bevan   +5 more
wiley   +1 more source

System and Method for Automated Rendezvous, Docking and Capture of Autonomous Underwater Vehicles [PDF]

open access: yes
A system for automated rendezvous, docking, and capture of autonomous underwater vehicles at the conclusion of a mission comprising of comprised of a docking rod having lighted, pulsating (in both frequency and light intensity) series of LED light strips
Clark, Evan   +6 more
core   +1 more source

Comparing convolutional neural network and random forest for benthic habitat mapping in Apollo Marine Park

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
A comparison of Convolutional Neural Network (CNN) and Random Forest (RF) model predictions of benthic habitats within Apollo Marine Park. The CNN (left) and RF (right) classification maps show the spatial distribution of three habitat types: high energy circalittoral rock with seabed‐covering sponges, low complexity circalittoral rock with non‐crowded
Henry Simmons   +6 more
wiley   +1 more source

Programmed unmanned aerial vehicles show great potential for monitoring marine megafauna in specific areas of interest

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Targeted conservation measures are contingent on robust knowledge of spatio‐temporal animal distribution in areas of interest. We explore unmanned aerial vehicle (UAV) transect monitoring as a novel method for standardized digital aerial surveys of marine megafauna by investigating the fine‐resolution spatio‐temporal distribution of harbour porpoises ...
Dinah Hartmann   +2 more
wiley   +1 more source

Experimental Validation of a Model-Free High-Order Sliding Mode Controller with Finite-Time Convergence for Trajectory Tracking of Autonomous Underwater Vehicles. [PDF]

open access: yesSensors (Basel), 2022
González-García J   +5 more
europepmc   +1 more source

Incorporating environmental DNA metabarcoding for improved benthic biodiversity and habitat mapping

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Seafloor imagery is commonly used to collect information about the distribution of benthic organisms in order to generate habitat and biodiversity maps. Recent advances in genomics (e.g., environmental DNA; eDNA) show potential to complement video surveys for habitat mapping, but there have been few examples testing this.
Rylan J. Command   +8 more
wiley   +1 more source

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