Results 71 to 80 of about 3,862 (189)

Context‐engineering large language models for scalable structured metadata extraction in ecological literature reviews

Methods in Ecology and Evolution, EarlyView.
Abstract Hundreds of thousands of peer‐reviewed articles and grey‐literature reports appear each year in ecology and conservation, creating a pressing need for scalable synthesis tools. We demonstrate that transformer‐based Large Language Models (LLMs), when embedded within a practical, expert‐in‐the‐loop pipeline, offer a reliable path forward ...
Sruthi M. Krishna Moorthy, Man Qi, Alice Rosen, Yadvinder Malhi, Roberto Salguero‐Gómez   +4 more
wiley   +1 more source

Combined Approach to Locate Medieval Fortified Manor Houses in Central Moravia (the Czech Republic)

Archaeometry, EarlyView.
ABSTRACT A systematic prospection of medieval fortified manor houses (FMHs) in Central Moravia (Czech Republic) was conducted with the aim of mapping their distribution and facilitating both further scholarly research and more effective heritage protection by responsible institutions.
Martin Moník, Jakub Novák, Stanislav Popelka, Ondřej Růžička, Markéta Beitlová, Jan Martínek, Pavel Šlézar, Josef Svoboda, Lukáš Hlubek, Tomáš Lehotský, David Papajík   +10 more
wiley   +1 more source

A Survey of Methods for Constructing 3D Urban Models From Point Clouds

Computer Graphics Forum, EarlyView.
The survey outlines a general process for constructing 3D models from point clouds and categorizes the methods based on their use of templates, basic surface primitives, hybrid approaches, or linear primitives. Additionally, the survey reviews the datasets and benchmarks that are essential for testing and training the developed methods.
Chiara Romanengo, Silvia Biasotti, Bianca Falcidieno, Daniela Cabiddu, Elia Moscoso Thompson, Michela Spagnuolo   +5 more
wiley   +1 more source

Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Artificial intelligence (AI), a key driver of the Fourth Industrial Revolution, is being rapidly integrated into plant phenomics to automate sensing, accelerate data analysis, and support decision‐making in phenomic prediction and genomic selection.
Xu Wang, Daeun Choi, Damian Adams, Jaehyun Ahn, Kelly Balmant, Raquel Dias, Carlos D. Messina, Rafael Muñoz‐Carpena, Vance M. Whitaker, Haipeng Yu, Ziwen Yu, Chang Zhao, Changying Li   +12 more
wiley   +1 more source

UAV LiDAR expands the understanding of forest tree diversity

Ecological Indicators
Timely and accurate monitoring of forest tree diversity is essential to support ecological evaluation and sustainable forest management. Recent studies have emphasized the importance of light detection and ranging (LiDAR) features in explaining tree diversity.
Jianyang Liu, Ying Quan, Guoqiang Zhao, Baozhong Yuan, Bin Wang, Mingze Li   +5 more
openaire   +2 more sources

Exploring the effects of different combination ratios of multi-source remote sensing images on mangrove communities classification

International Journal of Applied Earth Observations and Geoinformation
Mangroves are one of the most important marine ecosystems globally, their spatial distribution is crucial for promoting mangrove ecosystems conservation, restoration, and sustainable managements.
Bolin Fu, Shurong Zhang, Huajian Li, Hang Yao, Weiwei Sun, Mingming Jia, Yanli Yang, Hongchang He, Yuyang Li   +8 more
doaj   +1 more source

Spatial and temporal scales in plant phenotyping for crop water stress assessment: A review

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water stress is a major limiting factor for crop productivity worldwide, and its impacts are intensifying due to climate variability and increasing water scarcity. This review focuses on the spatial and temporal scales in plant phenotyping as a critical approach to improving crop water‐stress assessment and supporting precision water ...
Daniel Kingsley Cudjoe, Yazhou Sun, Sanai Li, Wenxuan Guo   +3 more
wiley   +1 more source

Predicting soybean aboveground biomass in the short‐season region of Canada: Integrating vegetative cover and canopy height

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Aboveground biomass (ABM) is a key determinant of soybean (Glycine max [L.] Merr.) yield and can be used to select for stress‐resilient cultivars. The objective of our study was to develop a predictive model describing ABM in short‐season soybean from vegetative cover (VC) and canopy height (CH).
Malcolm J. Morrison, Thomas L. Hotte, A. Claire Gahagan, Nathaniel W. W. Ort, Elroy R. Cober   +4 more
wiley   +1 more source

Unmanned aerial vehicle–based spatiotemporal phenotyping and growth modeling for forecasting potato yield

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Monitoring spatial variations in plant growth and forecasting yield before harvest provides valuable insights for optimizing agronomic decision‐making in potato (Solanum tuberosum L.) cultivation. Although unmanned aerial vehicle (UAV)‐based remote sensing has recently enabled the development of tuber fresh weight (TW) estimation models, their
Yuto Imachi, Kunihiro Tanaka, Minato Miyauchi, Kyosuke Miyamoto, Masahiro Okada, Pieter M. Blok, Wei Guo, Hiroyoshi Iwata   +7 more
wiley   +1 more source

Comparison of forest canopy height profiles in a mountainous region of Taiwan derived from airborne lidar and unmanned aerial vehicle imagery

GIScience & Remote Sensing, 2019
Tree height is essential for assessing carbon budgets and biodiversity. One of the most commonly used assessment methods is a field survey. However, this approach is extremely challenging for obtaining highly accurate estimates in forests with tall and ...
Chih-Hsin Chung, Chao-Huan Wang, Han-Ching Hsieh, Cho-Ying Huang   +3 more
doaj   +1 more source