Results 191 to 200 of about 24,321 (248)

Assessing ChatGPT for taxonomic and floristic studies

Nordic Journal of Botany, EarlyView.
The advancement of biological sciences has long been closely linked to technological progress. ChatGPT, a generative artificial intelligence chatbot capable of producing human‐like conversational responses, has recently attracted attention as a potential support tool for scientific research.
Mykyta Peregrym, Olena Kozak, Ahmet Emre Yaprak, Alan Elliott, Pedro Bond Schwartsburd, Karime Abidkulova, Anna Voytsekhovich, Olena Danylevska   +7 more
wiley   +1 more source

Epistemic diversity and the politics of knowledge in plant disease management: Insights from the Xylella fastidiosa epidemic in southern Italy

PLANTS, PEOPLE, PLANET, EarlyView.
Xylella fastidiosa is a major plant pathogen affecting crops such as grapes, citrus, almonds, and olives, with potentially severe consequences for agricultural production and rural livelihoods worldwide. This paper examines the conflict around the management of the X. fastidiosa outbreak affecting olive trees in southern Italy.
Fabio Gatti, David Ludwig, Phil Macnaghten   +2 more
wiley   +1 more source

Redefining Optimal Coverage Path Planning for FLS‐Equipped AUVs With Deep Reinforcement Learning

Journal of Field Robotics, EarlyView.
ABSTRACT Autonomous Underwater Vehicles (AUVs) have emerged as indispensable tools for a variety of subsea tasks, from habitat monitoring and seabed mapping to infrastructure inspection and mine countermeasures. A fundamental challenge in this field is Coverage Path Planning (CPP), the problem of ensuring complete and efficient area coverage.
Lorenzo Cecchi, Alberto Topini, Alessandro Bucci, Alessandro Ridolfi   +3 more
wiley   +1 more source

Automated Lawn Maintenance: An Agronomic and Operational Review of Turf Health, Biodiversity, and Field Performance

Journal of Field Robotics, EarlyView.
ABSTRACT Grass mowing is one of the most resource‐consuming activities in green maintenance, whether in private areas such as home gardens or in public spaces like urban parks. In recent years, concerns related to climate change, human health, and sustainability have become increasingly prominent in green maintenance, leading manufacturers and industry
Andrea Palladini, Lorenzo Guerrini, Marco Fontanelli, Lucia Bortolini   +3 more
wiley   +1 more source

Development of semantic verbal fluency in children aged 2 to 5 and its relationship with participating in music activities. [PDF]

PLoS One
Torppa R, Looi V, Henttonen P, Pekkala S.   +3 more
europepmc   +1 more source

Machine learning‐driven advances in carbon‐based quantum dots: Opportunities accompanied by challenges

Responsive Materials, EarlyView.
Machine learning provides a unifying framework to connect structure, fluorescence properties, and applications of carbon‐based quantum dots. This review highlights how data‐driven strategies enable fluorescence regulation, reveal underlying mechanisms, and accelerate the rational design of functional carbon dots.
Liangfeng Chen, Siwei Yang, Xiangqian Cui, Ziheng Liu, Hang Wang, Yongqiang Li, Peng He, Miao Wang, Guqiao Ding   +8 more
wiley   +1 more source

A Case of Functional Movement Disorder Preceding Right Temporal Predominant Frontotemporal Degeneration

Movement Disorders Clinical Practice, EarlyView.
Isis So, Aditya Murgai, Elizabeth C. Finger, Miguel Restrepo‐Martinez   +3 more
wiley   +1 more source

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

The association of mood disorders and mild cognitive impairment with language performance in older adults: insights from a community healthcare setting. [PDF]

Front Dement
Karpathiou N, Tsapanou A, Efthymiou A, Kotsiou E, Arampatzi X, Zoi P, Kalligerou F, Sakka P.   +7 more
europepmc   +1 more source

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

Remote 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, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source