Results 151 to 160 of about 7,991,343 (226)

Prevalence, Molecular Detection, and <i>In Vitro</i> Elimination of Latent Viruses and Viroids in Pome Fruit Germplasm of Kazakhstan. [PDF]

Viruses
Madenova A, Kaldybayeva D, Turdiyev T, Abdikarimova R, Kaiypzhan Y, Kabylbekova B, Soltanbekov S, Aitymbet Z, Nadeem MA, Baloch FS.   +9 more
europepmc   +1 more source

Advances in protein–polyphenol complexation: Unraveling mechanisms, modulation, and functional outcomes

Food Biomacromolecules, Volume 3, Issue 3, Page 515-531, September 2026.
Abstract Polyphenolic compounds have attracted increasing market demand and extensive attention due to their potential health benefits and bioactivities. Meanwhile, proteins are widely used in the food industry for their nutritional and functional properties. However, the application of proteins in the food industry is often limited by challenges, such
Fang Li, Ziming Xu, Tian Zhao, Gongshuai Song, Danli Wang, Tinglan Yuan, Ling Li, Jinyan Gong   +7 more
wiley   +1 more source

Editorial: Plant pest and disease model forecasting: enhancing precise and data-driven agricultural practices. [PDF]

Front Plant Sci
Newlands NK, Rossi V, Thomidis T.
europepmc   +1 more source

Herbal Extracts and Plant‐Derived Bioactives in Atopic Dermatitis: Evidence, Mechanisms, Pediatric Safety, and Translational Priorities

Food Science &Nutrition, Volume 14, Issue 9, September 2026.
Food‐derived bioactives, herbal extracts, and standardized botanical products are being investigated as adjunctive strategies for atopic dermatitis. Their biological activity is shaped not only by plant source and nominal dose, but also by fermentation, drying, heating, extraction, food‐matrix binding, gastrointestinal transformation, and formulation ...
Muhuang Zeng, Qianlan Yuan, Shuojia Huang, Xiaofei Lu   +3 more
wiley   +1 more source

Lightweight real-time detectors of apple-leaf diseases operating on embedded devices. [PDF]

PLoS One
Qin Y, Liu Q, Liu H, Zhang H, Ji Z, Ganchev I.   +5 more
europepmc   +1 more source

Plant Flavonoid—Enriched Functional Foods for Polycystic Ovary Syndrome: Dietary Sources, Bioavailability Enhancement, and Personalized Intervention Strategies

Food Science &Nutrition, Volume 14, Issue 9, September 2026.
Plant flavonoids from fruits, vegetables, tea, and soybeans require food processing technologies (microencapsulation, nano‐encapsulation, lipid carriers, fermentation, food collaboration) to enhance bioavailability, enabling the development of functional foods for precision dietary intervention in PCOS.
Jianding Wang, Hejian Zhu, Qing Shen, Yinghua Zhong, Yunli Du, Wenxi Yu, Fang Mao, Zhitao Yao, Weiwei Zhu, Lirong Sun, Qiu Lin, Xiaomin Xu, Jiong Zhu   +12 more
wiley   +1 more source

Image dataset of manalagi apple fruits for multi-class disease classification using deep learning. [PDF]

Data Brief
Febriantono MA, Girsang AS, Anggreainy MS, Suharjito.   +3 more
europepmc   +1 more source

Cucurbit Leaf Crumple Virus: An Important Pathogen of Cucurbit and Snap Bean Crops. [PDF]

Mol Plant Pathol
Cucurbit leaf crumple virus (CuLCrV) is an emerging pathogen in the New World. High whitefly abundance and transmission efficiency, mixed infections, weed reservoirs and limited host resistance challenge cucurbit and snap bean production. ABSTRACT Taxonomy Cucurbit leaf crumple virus (CuLCrV); Begomovirus cucurbitae; Geminiviridae; Geplafuvirales ...
Dhadly DK, Kavalappara SR, Bag S, McAvoy T, Severns PM, Srinivasan R, Simmons AM.   +6 more
europepmc   +2 more sources

From Deep‐Fat Frying to G‐Frying: Exploring Absorption Dynamics of Oil Fractions in Fried Foods

Food Science &Nutrition, Volume 14, Issue 9, September 2026.
This review provides a comparative analysis of oil absorption across conventional and emerging frying technologies, including hot‐air, microwave, G‐frying, pressure, vacuum, and infrared frying. It examines the migration of surface oil, structural oil, and penetrated surface oil during frying and cooling, highlighting technology‐specific absorption ...
Arash Ghaitaranpour, Mohsen Esmaiili, Zoleykha Fahimi vajargahi, Michael O. Ngadi   +3 more
wiley   +1 more source

Hybrid deep learning approach for grape and apple leaf disease detection using CNN, YOLOv11 and EfficientNet-V2s

RESEARCH QUESTIONS 1. How can the integration of CNN, YOLOv11, and EfficientNet-V2s improve the lo calisation and classification of grape and apple leaf diseases in complex agricultural environments? 2.
Salimon, Sajna
core   +1 more source