Results 111 to 120 of about 17,375 (236)

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

Plant, Cell &Environment, EarlyView.
ABSTRACT Stomatal anatomy and physiology define CO2 availability for photosynthesis and regulate plant water use. Despite being key drivers of yield and dynamic responsiveness to abiotic stresses, conventional measurement techniques of stomatal traits are laborious and slow, limiting adoption in plant breeding.
Edward Chaplin, Guy Coleman, Andrew Merchant, William Salter   +3 more
wiley   +1 more source

Visual Moral Inference and Communication

Topics in Cognitive Science, EarlyView.
Abstract Humans can make moral inferences from multiple sources of input. In contrast, computational moral inference in artificial intelligence typically relies on language models with textual input. However, morality is conveyed through modalities beyond language.
Warren Zhu, Aida Ramezani, Yang Xu
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

Phenotypic scoring of canola blackleg severity using machine learning image analysis

The Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Canola blackleg is a fungal disease that causes significant yield loss and plant death of infected canola (Brassica napus L., Brassica rapa L., Brassica juncea L.) fields worldwide. One of the most effective methods for controlling blackleg is through the cultivation of resistant varieties.
Qiao Hu, Sarah Anderson, Stuart Gardner, Thomas W. Ernst, Chadwick B. Koscielny, Navratan S. Bahia, Charles G. Johnson Jr, Andrew C. Jarvis, Joseph S. Hynek, Nathan Coles, Igor Falak, David R. Charne, Manuel E. Ruidiaz, Julien Linares, Anastasios Mazis, Daniel J. Stanton   +15 more
wiley   +1 more source

Detection and Classification of Peri‐Implant Marginal Bone Loss in Cone‐Beam Computed Tomography Using a Deep Learning Approach

Clinical and Experimental Dental Research, Volume 12, Issue 2, April 2026.
ABSTRACT Objectives Modern dental implants have high long‐term survival, but peri‐implant marginal bone loss remains a multifactorial cause of implant failure and often is radiographically occult. Cone‐beam computed tomography (CBCT) provides superior 3D assessment but produces large datasets requiring expert interpretation.
Zahra Madani, Hoorieh Bashizadeh Fakhar
wiley   +1 more source

Growth Response of Crop Legumes to Soil Microbiota Is Linked With Soil Nutrients and Planting History

Plant-Environment Interactions, Volume 7, Issue 2, April 2026.
ABSTRACT Soil microbiota provide essential services to plants, but predicting or manipulating these benefits is difficult. Here, we investigated microbial benefits to legume crops at a landscape level to uncover factors that predict those services and can be modified by growers.
Rebecca M. Crust, David Fronk, Fatima Macedo, Bao‐Lam Huynh, Sarah E. Light, Nicholas E. Clark, Joel L. Sachs   +6 more
wiley   +1 more source

Maternal High‐Fat Diet and Neonatal LPS Exposure Prolong USV Sequences and Shift Call‐Type Repertoires in Neonatal Rats

Developmental Psychobiology, Volume 68, Issue 2, March 2026.
ABSTRACT Rodent pups emit ultrasonic vocalizations (USVs) to solicit maternal care, enhancing survival. Inflammatory stressors, such as maternal high‐fat diet (mHFD) and neonatal lipopolysaccharide (nLPS) exposure, affect neonatal neurodevelopment and behavior.
Mansi Kamlesh Purohit, Ingrid Woo, Mouly Rahman, Sameera Abuaish, Patrick O. McGowan   +4 more
wiley   +1 more source

Anomaly Detection and Localization With State‐of‐the‐Art Deep Learning Models to Support Quality Inspection in Car Manufacturing

Engineering Reports, Volume 8, Issue 3, March 2026.
This work presents a deep learning framework for sealant inspection in automotive manufacturing, leveraging synthetic data to address the scarcity of real defects. Integrated with state‐of‐the‐art deep learning methods, the approach enhances anomaly detection and localization, demonstrating practical applicability and robustness under real‐world ...
Francesco Manigrasso, Davide Calandra, Lia Morra, Fabrizio Lamberti   +3 more
wiley   +1 more source

Human Eye Visualization With an Attention Mechanism: Enhancing Flower Detection and Classification With Visual Attention and Photometric Principles Inspired by Human Vision

Engineering Reports, Volume 8, Issue 3, March 2026.
The graphical abstract illustrates a flower classification model relying on the human visual system. The model captures images, simulates visual attention and photometric perception, extracts features of shape and color, and classifies flowers by using an optimized neural network that enhances recognition accuracy by mimicking the human eye's focusing ...
Arpan Singh, C. K. Yogesh, Christy Jackson Joshua   +2 more
wiley   +1 more source

SW‐YOLO: An Optimized YOLOv8 Architecture With ConvNeXt for Real‐Time and Accurate Substation Wiring Inspection

Engineering Reports, Volume 8, Issue 3, March 2026.
The study uses affine transformation, contrast enhancement, and mosaic masking for image enhancement and introduces the Convolutional NeXt module in YOLOv8 based on masked self‐encoder and response normalization, along with improvements to the convolutional block attention module.
Yu Lei, Zhihao Liang, Jiayun Huang
wiley   +1 more source