Results 231 to 240 of about 14,618,314 (310)
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
We demonstrate that high‐resolution multispectral imagery combined with machine learning can accurately predict key biocrust functional indicators, particularly the UV‐protective pigment scytonemin, across dryland ecosystems. Using fine‐scale imagery acquired in the Chihuahuan Desert and Colorado Plateau, we identified spectral bands strongly ...
Raúl Román +8 more
wiley +1 more source
Software-Only Registration and Cross-Spectral Classification of Unsynchronized RGB-LWIR Video: A Multisensor Benchmark for Conveyor-Based Waste Sorting. [PDF]
Akdemir B, Yuksel SE.
europepmc +1 more source
This study evaluates the performances of synchronous aerial visible (VIS) and thermal infrared (TIR) imagery for detecting great blue heron (Ardea herodias) nests and individuals using a YOLO11n model. VIS and TIR images were automatically aligned using deep learning, and both early and late fusion approaches were tested.
Camille Dionne‐Pierre +6 more
wiley +1 more source
Image generation models can create synthetic ecological datasets and potentially alleviate limitations from sparse real data. Using 20 tree genera across community‐science and street‐view imagery, we tested whether synthetic images could replace or supplement real data for image classification.
Thomas A. Lake +3 more
wiley +1 more source
Autonomous fixed‐wing drones operating beyond visual line of sight of the pilot were used to conduct the first aerial, multi‐species baseline reference survey at the sub‐Antarctic island of South Georgia. Long‐term population monitoring in this remote, challenging environment has historically proved difficult, with terrestrial monitoring generally ...
N. Fenney +5 more
wiley +1 more source
Adélie penguins gather in colonies as standing or prone adults, individual chicks, and chick crèches. From drone images, we distinguish adults and chicks by their plumage, identify adult postures by body shape, and estimate the size of chick groups from the area they occupy. We map these groups and measure how closely penguins live together.
Junqi Qin +4 more
wiley +1 more source
AI‐Driven Circular Construction Waste Management for Advancing Sustainable Development
ABSTRACT Construction and demolition waste (C&DW) represents up to 40% of global solid waste, posing a significant barrier to achieving circular economy (CE) objectives and the Sustainable Development Goals (SDGs), particularly SDG 11 and SDG 12. However, construction waste management (CWM) systems remain constrained by fragmented data environments ...
Mohamed T. Elnabwy, Pablo Martinez
wiley +1 more source
ABSTRACT The FAO's “blue transformation” roadmap necessitates a fundamental shift towards precision aquaculture to meet global food security targets while minimizing environmental footprints. This review provides a comprehensive overview of how artificial intelligence (AI) and decision support systems (DSS) serve as pivotal enablers for the “better ...
Mustafa Öz, Enes Üstüner
wiley +1 more source
World Models for Robotic Manipulation: A Survey
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang +17 more
wiley +1 more source

