Artificial intelligence‐powered plant phenomics: Progress, challenges, and opportunities
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 +12 more
wiley +1 more source
Why Are Physics‐Based Models Taking so Long to Run?
Abstract Physics‐based models provide a reliable and interpretable framework based on established physical laws, allowing them to deal with unforeseen future conditions much better than statistical data‐driven methods. Physics‐based models in Earth science (e.g., climate models, hydrological models, and groundwater models) are commonly used for ...
Xiuquan Wang
wiley +1 more source
Thermal Stress Is Associated With Fragmentation of Mediterranean Posidonia oceanica Meadows
By combining a physiological model of cumulative thermal stress with AI‐based seagrass mapping, we show that chronic sublethal warming is associated with fragmentation of Mediterranean Posidonia oceanica meadows and increased regression risk by 2100. ABSTRACT Posidonia oceanica meadows, which underpin Mediterranean coastal ecosystems, are undergoing ...
Àlex Giménez‐Romero +3 more
wiley +1 more source
Proximate Climate Drivers of Beaver Pond Occupancy and Range Expansion in Arctic Alaska
To understand why beavers are colonizing the Arctic, we evaluated which climate drivers underpin beaver pond dynamics. Warm Junes, mild winters, green summers, and wet springs facilitate pond establishment. Rapid improvement in these conditions across recent decades provides mechanistic support that climate change is driving beaver colonization of the ...
Thomas W. Glass +3 more
wiley +1 more source
EdgeGeoDiff: A Novel Two-Stage Diffusion Approach for Precipitation Downscaling with Edge Details and Geographical Priors. [PDF]
Zhang S, Zhang C, Wu T, Zou T, Dong Y.
europepmc +1 more source
Warming‐Induced Shifts in Relative Humidity Reshape Global Soil Organic Carbon Storage
We developed a four‐dimensional deep learning framework for predicting global soil organic carbon (SOC). It generates spatially explicit, soil depth‐resolved, and temporally connected SOC estimates. ABSTRACT Soil organic carbon (SOC) underpins food production, ecosystem functioning, and climate regulation.
Lidong Li +4 more
wiley +1 more source
One‐step protocol enabling direct differentiation of human iPSCs into functional astrocytes within 5 weeks. Validated in > 60 lines across 10 labs. iPSC‐astrocytes support robust neuronal network development in co‐culture. ABSTRACT Astrocytes play a pivotal role in neuronal network development.
Imke M. E. Schuurmans +39 more
wiley +1 more source
Downscaling the spatial resolution of satellite imagery based on morphometric parameters to estimate the Topographic Wetness Index using GIS tools. [PDF]
Shabbir H +6 more
europepmc +1 more source
ABSTRACT Purpose To evaluate the effectiveness of the MR‐MinMo head stabilization device in mitigating motion artifacts during long‐duration, high‐resolution 7 T MRI scans, with and without retrospective motion correction Methods The MR‐MinMo was tested on seven pediatric and 12 adult healthy volunteers using 0.6 mm isotropic, 3D Multi‐Echo Gradient ...
Jyoti Mangal +10 more
wiley +1 more source
Benchmarking the geographic generalization of deep learning models for precipitation downscaling. [PDF]
Harder P +7 more
europepmc +1 more source

