Results 81 to 90 of about 1,172,450 (279)

Swarm-inspired solution strategy for the search problem of unmanned aerial vehicles [PDF]

open access: yes
Learning from the emergent behaviour of social insects, this research studies the influences of environment to collective problem-solving of insect behaviour and distributed intelligent systems.
Li, Xingbo
core  

Robotics for Crop Pollination: Recent Advances and Future Direction

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT There is great interest in alternative pollination strategies for crop production in the face of climate change and perennial threats to the traditional pollination mechanisms. This review explores the potential of robotic pollination as a promising solution to these challenges affecting crop fertilization, agricultural sustainability, and ...
Ranjan Sapkota   +3 more
wiley   +1 more source

UAV‐Based Precision Seed Dropping for Automated Reforestation

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Wildfires and deforestation pose significant threats to forest ecosystems, motivating scalable methods for reforestation beyond labor‐intensive cultivation of native forest seedlings in nurseries. To enable large‐scale direct seeding of native species, this paper presents the design, analysis, and field evaluation of a UAV‐based seed‐dropping ...
Qi Rui Lee   +5 more
wiley   +1 more source

Indoor UAV for Nuclear Investigation: Experimental Qualification and Field Feedback

open access: yesJournal of Field Robotics, EarlyView.
ABSTRACT Indoor Unmanned Aerial Vehicles (UAVs) have recently gained interest for inspection and investigation tasks in hazardous environments. In the nuclear field, indoor UAVs offer promising capabilities to reduce workers' exposure to ionizing radiation while accessing confined or elevated areas.
Jérémy Seyssaud   +6 more
wiley   +1 more source

Classification of tree species and standing dead trees in Boreal forests using UAV‐based RGB, multispectral, and LiDAR point clouds

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We evaluated single‐ and multi‐sensor UAV approaches for classifying tree species and standing dead trees in boreal forests, focusing on key biodiversity indicators such as European aspen. Using spectral and structural features extracted from RGB, multispectral (MSP), and LiDAR point clouds for 1,205 field‐measured trees, we compared classification ...
Anton Kuzmin   +5 more
wiley   +1 more source

Multi‐Platform Deployments of Low‐Cost Devices for Cetacean Passive Acoustic Monitoring

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
Recent advances in affordable, user‐friendly devices offer new opportunities to overcome cost constraints of underwater passive acoustic monitoring (PAM) and expand acoustic data collection. In this study, we deployed low‐cost acoustic recorders and underwater cameras across a range of platforms in the Western Mediterranean, including fishing gear ...
Greta Jankauskaite   +8 more
wiley   +1 more source

Corrections to “Optimizing Task Offloading for Collaborative Unmanned Aerial Vehicles (UAVs) in Fog–Cloud Computing Environments”

open access: yesIEEE Access
Presents corrections to the paper, (Optimizing Task Offloading for Collaborative Unmanned Aerial Vehicles (UAVs) in Fog–Cloud Computing Environments).
Mohammad Aldossary
doaj   +1 more source

Monitoring of Crustose Coralline Algae Using Low‐Altitude Unmanned Aerial Vehicles in Intertidal Reefs

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
High‐resolution visible‐light imagery from low‐altitude unmanned aerial vehicles, combined with superpixel segmentation and a Random Forest classifier, provides an efficient and scalable framework for mapping and monitoring crustose coralline algae and reef habitats.
Po‐Chien Lin   +2 more
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

open access: yesRemote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang   +5 more
wiley   +1 more source

V2X Communication between Connected and Automated Vehicles (CAVs) and Unmanned Aerial Vehicles (UAVs). [PDF]

open access: yesSensors (Basel), 2022
Kavas-Torris O   +4 more
europepmc   +1 more source

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