Results 241 to 250 of about 3,522,681 (315)

Practical Measurement and Neural Encoding of Hyperspectral Skin Reflectance

2024 International Conference on 3D Vision (3DV)
Xiaohui Li, Giuseppe Claudio Guarnera, Arvin Lin, Abhijeet Ghosh   +3 more
openaire   +2 more sources

Tropical leaf phenology as a thermoregulation trait: how changes in crown structure modulate thermal dynamics for two dominant Hawaiian trees

New Phytologist, EarlyView.
Study site and focal species. Summary Canopy and leaf temperatures often diverge from air temperature, influencing photosynthesis, water loss, and heat stress. While leaf traits are known to affect heat exchange, how changes in crown structure interact with environmental drivers to regulate canopy thermal dynamics is poorly understood, particularly in ...
Shannon L. J. Bayliss, Eben N. Broadbent, Angélica M. Almeyda Zambrano, Stephanie Pau   +3 more
wiley   +1 more source

Integrating Hyperspectral Reflectance-Based Phenotyping and SSR Marker-Based Genotyping for Assessing the Salt Tolerance of Wheat Genotypes under Real Field Conditions. [PDF]

Plants (Basel)
El-Hendawy S, Junaid MB, Al-Suhaibani N, Al-Ashkar I, Al-Doss A.   +4 more
europepmc   +1 more source

Programmable Domestication: CRISPR, Pan‐Genomics and System Level Engineering for Next‐Generation Crops

Plant Biotechnology Journal, EarlyView.
Conceptual overview of programmable de novo domestication from genetic diversity discovery to crop deployment. The framework connects diverse germplasm and genomic resources with three trajectory pathways. Adaptive Rescue, Agronomic Refinement and Novel Chassis defined by biological distance, engineering complexity and breeding objectives.
Muhammad Mubashar Zafar, Hina Firdous, Ayesha Siddiqua, Ayesha Naveed, Abdul Razzaq, Sadam Munawar, Aqsa Ijaz, Zunaira Anwar, Sezai Ercisli, Xuefei Jiang, Qiao Fei   +10 more
wiley   +1 more source

A Bilinear Model for Hyperspectral Fluorescence and Reflectance Imaging

A Bilinear Model for Hyperspectral Fluorescence and Reflectance Imaging
identifier:oai:t2r2.star.titech.ac.jp ...
openaire   +1 more source

A Computer Vision‐Based Methodology to Estimate Fruit Colour Diversity in Ornamental Pepper (Capsicum spp.)

Plant Breeding, EarlyView.
ABSTRACT Fruit colour diversity within different ripening stages confers ornamental value for pepper plants. Using images can be helpful in analysing the fruit colour‐related genetic diversity and enable selecting accessions for ornamental purposes by avoiding subjectiveness.
Marcos Bruno da Costa Santos, Raylson de Sá Melo, Victor Eduardo de Carvalho Sousa, Artur Mendes Medeiros, Angela Maria dos Santos Pessoa, Silvokleio da Costa Silva, Antonia Maiara Marques do Nascimento, Priscila Alves Barroso   +7 more
wiley   +1 more source

Correction: Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning. [PDF]

Plant Methods
Furbank RT, Silva-Perez V, Evans JR, Condon AG, Estavillo GM, He W, Newman S, Poiré R, Hall A, He Z.   +9 more
europepmc   +1 more source

Enhancing Predictive Ability of Agronomic and Quality Traits in Ethiopian Malting Barley (Hordeum vulgare L.) Using Spectral Variable Selection Methods

Plant Breeding, EarlyView.
ABSTRACT Phenomic selection (PS) offers a cost‐effective, breeder‐friendly approach for public breeding programmes with limited access to genotyping or restricted financial resources for laboratory infrastructure. Since PS relies on high‐throughput phenotyping data, which is often derived from near‐infrared spectroscopy (NIRS) of harvested seeds ...
Tigist Tadesse, Peer Wilde, Wondimu Ejerso, Dorothea Borchardt, Patrick Thorwarth, Thomas Miedaner   +5 more
wiley   +1 more source

Guiding the AI revolution in periodontology and implant dentistry: Concepts, ethics, accountability, and a roadmap for sustainable adoption

Periodontology 2000, EarlyView.
Abstract Background Artificial intelligence (AI) is increasingly gaining attention in the field of periodontology and implant dentistry. Currently developed models can support diagnosis, treatment planning, and maintenance monitoring. However, most of the available literature is based on retrospective and often single‐modality data sets.
Aminollah Khormali, Negin Soghli, Patricia A. Miguez   +2 more
wiley   +1 more source

Assessment of corn chlorophyll content via UAV‐derived vegetative indices across growth stages

Agrosystems, Geosciences &Environment, Volume 9, Issue 4, December 2026.
Abstract Traditional chlorophyll (Chl) assessment methods are labor‐intensive and spatially limited. This study evaluated unmanned aerial vehicle (UAV) multispectral imagery for nondestructive field‐scale canopy Chl estimation in corn (Zea mays L.) to support precision nutrient management.
Aarati Khulal, Huijie Gan, Jitender Rathore, Sheetal Kumari, Ivy Flory, Caleb Bishop, Santosh Rijal, Olga Walsh   +7 more
wiley   +1 more source