Results 211 to 220 of about 79,106 (281)

Advancing Canning Quality in Common Beans: An Integrated Farm‐to‐Can Framework Combining Breeding, Processing, and Artificial Intelligence

Legume Science, Volume 8, Issue 2, June 2026.
ABSTRACT Common beans (Phaseolus vulgaris L.) are essential raw material for the canning industry. This article reviews recent advances in assessing canning quality and the integration of artificial intelligence (AI) into breeding methodologies aimed at developing genotypes with superior yield and canning‐quality traits.
Arash Ghaitaranpour, Biniam Kebede, Mohsen Yoosefzadeh‐Najafabadi   +2 more
wiley   +1 more source

Quantitative analysis and visualization of live spotted seabass (<i>Lateolabrax maculatus</i>) flesh texture using hyperspectral imaging and machine learning. [PDF]

Food Chem X
Che S, Li A, Wang H, An C, Fang X, Wang Q, Tao Q, Li Y, Liu C, Liu S, Zhuang Z.   +10 more
europepmc   +1 more source

Assessing Moisture Content of Coolstored Blueberries During Water Loss Scenarios Using Hyperspectral Imaging

New Zealand Journal of Crop and Horticultural Science, Volume 54, Issue 2, June 2026.
Water loss is a key factor affecting the postharvest quality and shelf life of blueberries, and storage conditions (humidity and time) play an important role in regulating water retention capacity of stored berries. This study aims to explore the variation of moisture content (MC) in blueberries under different storage humidity and storage time ...
RunKai Wang, Craig McGill, Eduardo Sandoval, Mo Li   +3 more
wiley   +1 more source

Harnessing hyperspectral imaging and machine learning techniques for accurate discrimination of peanut plants and weeds. [PDF]

Sci Rep
Bakhshipour A, Ramezanpour S.
europepmc   +1 more source

Comparison of Recycled Polypropylene Sourced From Food and Nonfood Applications for Direct Food Contact Use

Packaging Technology and Science, Volume 39, Issue 6, Page 765-778, June 2026.
Utilisation of postconsumer recycled (PCR) plastic for food contact has safety concerns due to the potential presence of unapproved intentionally/non‐intentionally added substances, which can pose health and environmental risks if not removed during recycling.
Khairun Tumu, Keith Vorst, Greg Curtzwiler   +2 more
wiley   +1 more source

Identification of tobacco leaf diseases using hyperspectral imaging and machine learning with SHAP interpretability analysis. [PDF]

Front Plant Sci
Luo P, Yang Y, Zhang H, Yi M, Zhou X, Yang Y, Chen H, Yan M, Jiang C.   +8 more
europepmc   +1 more source

Physics‐informed multimodal learning for snapshot dental spectral reflectance prediction

Quantitative 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, Yushan Guo, Qingyi Liu, Fei Liu, Jiefei Shen, Junfei Shen   +5 more
wiley   +1 more source

Dissecting the genetic architecture of seed-related traits in Brassica napus by integrating multi-omics analysis and VIS-NIR hyperspectral imaging. [PDF]

Genome Biol
Tan Z, Liu Y, Wu X, Song J, Lu B, Chen Y, Fan R, Chen J, Yang W, Feng H, Guo L, Yao X.   +11 more
europepmc   +1 more source

Scene Investigation from the Sky: Current and Future Uses of Unoccupied Aerial Systems in Forensic Investigations

WIREs Forensic Science, Volume 8, Issue 2, June 2026.
Police drone technology could be utilized to support forensic scene investigations. If the challenges of implementing new technologies can be overcome, drones could improve operational efficiency, interpretation issues and add investigative value in the courtroom. ABSTRACT Unoccupied aerial systems (UAS; otherwise known as Uncrewed Aerial Vehicles (UAV)
Clare Barrett, Sébastien Moret, Denis Werner   +2 more
wiley   +1 more source