Results 171 to 180 of about 79,106 (281)

Infrared Thermal Imaging Enhanced Selection Intensity for Fusarium Head Blight Resistance in Soft Winter Wheat

open access: yesPlant Breeding, EarlyView.
ABSTRACT Development of Fusarium head blight (FHB)‐resistant winter wheat (Triticum aestivum L.) varieties relies heavily on visual scoring for large‐scale field evaluations. However, visual assessment of FHB symptoms remains a bottleneck in FHB resistance breeding due to its inherent subjectivity. At a single‐spike scale under greenhouse conditions, a
Jonathan Concepcion   +2 more
wiley   +1 more source

FieldDino: Rapid In‐Field Stomatal Anatomy and Physiology Phenotyping

open access: yesPlant, 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   +3 more
wiley   +1 more source

Quantitative analysis of tobacco blending proportions based on hyperspectral imaging and data fusion. [PDF]

open access: yesFront Plant Sci
Jiang Y   +10 more
europepmc   +1 more source

Robustness of high‐throughput prediction of leaf ecophysiological traits using near infrared spectroscopy and poro‐fluorometry

open access: yesThe Plant Phenome Journal, Volume 9, Issue 1, December 2026.
Abstract Water scarcity is a major threat to crop production and quality. Improving drought tolerance through variety selection requires a deeper understanding of plant ecophysiological responses, but large‐scale phenotyping remains a bottleneck. This study assessed the potential of high‐throughput tools (spectroscopy and poro‐fluorometry) to predict ...
Eva Coindre   +13 more
wiley   +1 more source

Hyperspectral Imaging and Machine Learning for Automated Pest Identification in Cereal Crops. [PDF]

open access: yesBiology (Basel)
Ualiyeva RM   +5 more
europepmc   +1 more source

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

open access: yesThe 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   +12 more
wiley   +1 more source

Moisture Content Estimation of Porous Building Stones using Hyperspectral Imaging. [PDF]

open access: yesSci Data
Chaghdo DA   +6 more
europepmc   +1 more source

Phenotypic scoring of canola blackleg severity using machine learning image analysis

open access: yesThe 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   +15 more
wiley   +1 more source

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