Results 171 to 180 of about 55,445 (259)

Fermented Citrus as a Functional Food Matrix: Evaluating Probiotic, Prebiotic, and Postbiotic Potential

open access: yesAgriFood: Journal of Agricultural Products for Food, EarlyView.
Fermented citrus transforms bioactive compounds into metabolites with probiotic and prebiotic properties, enhancing gut health, immunity, and metabolic balance. This review highlights fermentation's role in developing sustainable, health‐promoting functional foods while addressing challenges in process optimization, sensory quality, and commercial ...
Sony Kumari   +3 more
wiley   +1 more source

Vendor Types, Attendance, Experience and Sales 2019–2021: Evidence From Five Rural Oregon Farmers Markets

open access: yesAgribusiness, EarlyView.
ABSTRACT Farmers markets provide a direct‐to‐consumer marketing path for farmers and small businesses, facilitating customer discovery and product refinement. This paper explores farmers markets as a business incubator, with a focus on beginning vendors and resilience to a shock, namely, COVID‐19 market restrictions.
Mallory L. Rahe   +2 more
wiley   +1 more source

Who Are the Consumers of European Farmers' Markets? A Cross‐Country Analysis

open access: yesAgribusiness, EarlyView.
ABSTRACT With substantial growth in the number of farmers' markets (FMs) in developed countries, the number of consumers visiting FMs is also increasing. This study comparatively assesses the consumers of FMs in three European countries where FMs traditionally play a distinctive role in food supply chains.
Áron Török   +6 more
wiley   +1 more source

Artificial Intelligence‐Driven Insights into Electrospinning: Machine Learning Models to Predict Cotton‐Wool‐Like Structure of Electrospun Fibers

open access: yesAdvanced Intelligent Discovery, EarlyView.
Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia   +3 more
wiley   +1 more source

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

open access: yesAdvanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia   +1 more
wiley   +1 more source

Home - About - Disclaimer - Privacy