Results 121 to 130 of about 13,128,782 (268)

AI‐Driven Personalized Recommendations and Real‐Time Monitoring for the Prevention and Management of Obesity: Clinical Trial Protocol for the Multicentre BETTER4All Personalized Intervention

Obesity Reviews, EarlyView.
ABSTRACT Background Obesity arises from complex interactions among genetic, biological, behavioral, and environmental factors. Traditional “one‐size‐fits‐all” interventions often yield modest, short‐term outcomes, failing to account inter‐individual variability.
Eva Karaglani, Christina Patmiou, Paris Kantaras, Ioanna Panagiota Kalafati, Maria Kafyra, Vasiliki Vavouraki, Marta Gaspar, Ana Rito, Louise Seconda, Anestis Dougkas, Julie‐Anne Nazare, Anna Ek, Ioannis Ioakeimidis, Alexis Kyriacou, Panagiota Veloudi, Constantinos Deltas, Vanessa Bullon‐Vela, Maira Bes‐Rastrollo, Paulina Krzywicka, Aleksandra Luszczynska, Dimitrios Aletras, Chrysa Episkopou, Anastasios Delopoulos, Gianna Karanasiou, Vera Stavroulaki, Rooholla Poursoleymani, Ioannis Papathanail, Stavroula Georgia Mougiakakou, Ioannis Roumeliotis, Aristotelis Ballas, Christos Diou, George Dedoussis, Yannis Manios, on behalf of the BETTER4U consortium, Project Coordinator   +34 more
wiley   +1 more source

Forest Height Extraction Using GF-7 Very High-Resolution Stereoscopic Imagery and Google Earth Multi-Temporal Historical Imagery

Journal of Remote Sensing
With the advent of very high-resolution (VHR) imaging satellites, it is possible to measure the heights of forest stands or even individual trees more accurately.
Wenjian Ni, Zijia Li, Qiang Wang, Zhiyu Zhang, Qingwang Liu, Yong Pang, Yating He, Zengyuan Li, Guoqing Sun   +8 more
doaj   +1 more source

Grounds for Accountability: Preparedness for Supply Chain Due Diligence Legislation in Canada

Regulation &Governance, EarlyView.
ABSTRACT Canada is under growing pressure to adopt mandatory supply chain due diligence legislation to hold corporations accountable for environmental and social harms embedded in global supply chains. In response, the Government of Canada is exploring policy options for stricter supply chain regulations, including legislative measures such as the ...
Emma L. Bowick, Rachel S. Friedman, Michaela L. Meil, Sophia L. Carodenuto   +3 more
wiley   +1 more source

Automated Ground Control Point Identification using Deep Learning Techniques

Ground Control Points (GCPs) play a crucial role in photogrammetry, providing essential information for georeferencing, registration and scaling of aerial and satellite imagery. These reference points, with known coordinates, are strategically placed and
Grundmann, Jens, Jäschke, Almut, Elias, Melanie, Eltner, Anette, Blanch, Xabier, Grothum, Oliver   +5 more
core   +2 more sources

A Rational Function Model Based Geo-Positioning Method for Satellite Images without Using Ground Control Points

, 2018
Earth observation satellites with various spatial, spectral and temporal resolutions provide an invaluable means for mapping and monitoring the Earth’s environments.
Cancan Cui, Wei Song, Junping Deng, Jiali Wang, Zhenling Ma   +4 more
core   +1 more source

Shedding light on the environmental efficiency of the public light service: minimising light pollution through the global Malmquist–Luenberger index

International Transactions in Operational Research, Volume 34, Issue 1, Page 528-551, January 2027.
Abstract The search for evidence in public management and the implementation of good management by public bodies is becoming increasingly important, and the principles of effectiveness and efficiency should be reinforced. Therefore, this paper aims to analyse the change in efficiency in the provision of public lighting services by local governments ...
Pablo Povedano‐Fernández, Gemma Pérez‐López, José Luis Zafra‐Gómez   +2 more
wiley   +1 more source

Temporal genetic relationships between growth, development, and malting quality in winter barley (Hordeum vulgare) using aerial imagery

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Grain characteristics are the cumulative product of growth and development throughout the growing season. In barley (Hordeum vulgare), these traits determine the grain's value for malting purposes. The ability to accurately predict the genetic merit for malting quality is of great interest for barley breeding programs. Same‐season selection on
Amelia Loeb, Felipe Sabadin, Alexis Perry, Harmonie Bettenhausen, Gina Brown‐Guedira, Jared Smith, Kimberly Howell, Jason Walling, Hannah Uhlmann, Wynse Brooks, Nicholas Santantonio   +10 more
wiley   +1 more source

Multiple ortho‐mosaicking software pipelines produce comparable imagery‐derived wheat phenotypes

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Unmanned aerial systems (UAS) equipped with multispectral and RGB sensors offer valuable data for monitoring crop health and assessing disease severity. However, the wide range of available photogrammetric software complicates software selection for high‐throughput plant phenotyping.
Sanju Shrestha, Phillip D. Alderman, Grishma Ojha, Brett F. Carver   +3 more
wiley   +1 more source

Developing and deploying an unmanned aerial system–based phenotyping program for maturity to support soybean breeding

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Soybean [Glycine max (L.) Merr.] varieties are categorized into different relative maturity groups (MGs) that correspond to the approximate region that the variety is best adapted. Maturity is an important trait that growers consider when deciding which varieties to plant and for breeders as a covariate to compare genotypes.
Nathaniel Burner, Leonardo M. Bastos, Zenglu Li   +2 more
wiley   +1 more source

Extracting photogrammetric ground control from lidar DEMs for change detection

, 2006
Research has shown the importance of measuring topography for surface change detection and that the use of remote sensing methods is ideal for this application.
Murray, T., Barr, S.L., James, T.D., Barrand, N.E.; id_orcid, Timothy James   +4 more
core   +1 more source