Results 271 to 280 of about 270,656 (363)

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

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

Extracting atmospheric profiles from hyperspectral data using particle filters

open access: green, 2012
Dustin Rawlings   +3 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

Single-shot hyperspectral wavefront imaging. [PDF]

open access: yesNat Commun
Blochet B   +4 more
europepmc   +1 more source

An Explainable and Lightweight CNN Framework for Robust Potato Leaf Disease Classification Using Grad‐CAM Visualization

open access: yesApplied AI Letters, Volume 7, Issue 1, February 2026.
Proposed model achieves 99.14% accuracy with near‐perfect precision, recall, and F1 across all classes; Grad‐CAM visualizations confirm focus on biologically relevant symptom‐associated regions. ABSTRACT For identifying foliar diseases in crops at an early stage, accurate detection is necessary in maintaining food security, minimizing economic losses ...
MD Jiabul Hoque, Md. Saiful Islam
wiley   +1 more source

Spectroscopic Methods of Edible Flower Authentication and Quality Control for Food Applications

open access: yeseFood, Volume 7, Issue 1, February 2026.
The global demand for edible flowers has increased. Issues such as incorrect species identification, flower product adulteration, contamination, and quality degradation necessitate the application of proper methods for authenticating and controlling the product's quality.
Fidele Benimana   +3 more
wiley   +1 more source

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