Results 231 to 240 of about 105,347 (307)

Hyperspectral Image Classification

open access: yes, 2020
Rajesh, Gogineni,, Ashvini, Chaturvedi,
openaire   +3 more sources

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

Goji Disease and Pest Monitoring Model Based on Unmanned Aerial Vehicle Hyperspectral Images. [PDF]

open access: yesSensors (Basel)
Zhao R   +7 more
europepmc   +1 more source

Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction

open access: yesQuantitative Biology, Volume 14, Issue 2, June 2026.
Abstract Accurate color matching is essential to achieving aesthetically realistic outcomes in dental crown and bridge restorations. Traditional visual methods, however, are often affected by lighting variations and observer subjectivity. These limitations can lead to metamerism and inconsistent clinical outcomes.
Yujun Feng   +5 more
wiley   +1 more source

CMOS Synchronous shutter backside illuminated image sensor for hyperspectral imaging

open access: green
B. Dierickx   +6 more
openalex   +1 more source

Identification of Olives Using In-Field Hyperspectral Imaging with Lightweight Models [PDF]

open access: gold
Samuel Domínguez-Cid   +5 more
openalex   +1 more source

Linking Nutritional, Sensory, and Functional Quality in Plant‐Based Proteins Through Structural Modification and Computational Insights

open access: yesSustainable Food Proteins, Volume 4, Issue 1, March 2026.
The lacking essential amino acids, low digestibility, bioavailability, bitterness, and presence of anti‐nutritional factors that limit the consumption of plant proteins and their use in food formulations are discussed comprehensively. The findings of recent studies on novel technologies and computer‐based applications used to cope with these challenges
Humeyra Cavdar Dincturk   +3 more
wiley   +1 more source

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