Results 71 to 80 of about 5,511,548 (230)

Plant‐derived nanovesicles as potential drug delivery systems for topical use: Emerging applications in dermatology and cosmetology

VIEW, EarlyView.
Plant‐derived nanovesicles (PDNVs) are naturally secreted by fruit, vegetables, seeds, leaves and other natural sources. Used as drug delivery systems, they can combine intrinsic therapeutic activity, enhanced skin permeation and cargo‐carrying capacity, suitable for dermatological and cosmetic applications including hydration, antioxidant/anti ...
Dorotea Fiore, Beatrice Pellegrini, Antonia Mancuso, Maria Chiara Cristiano, Salvatore Panza, Donatella Paolino   +5 more
wiley   +1 more source

Assessing the host plants of the invasive apricot aphid, Myzus mumecola (Hemiptera: Aphididae)

Agricultural and Forest Entomology, EarlyView.
We investigated the host plants of the invasive apricot aphid Myzus mumecola (Hemiptera: Aphididae), an emerging pest species in Europe, by combining molecular and ecological approaches. The winter host plant was confirmed as apricot by both methods.
Marta Chignola, Urban Spitaler, Hannes Schuler   +2 more
wiley   +1 more source

RMP-UNet: An Efficient and Lightweight Model for Apple Leaf Disease Segmentation

As an important and nutrient-rich economic crop, apple is significantly threatened by leaf diseases, which severely impact yield, making the timely and accurate diagnosis and segmentation of these diseases crucial.
Hongxin Wu, Qi Wang, Lijun Hu, Xu Li, Cuiyun Wu, Wenbo Zhao, Jiangbo Wang   +6 more
core   +1 more source

Improved multi-scale inverse bottleneck residual network based on triplet parallel attention for apple leaf disease identification

Journal of Integrative Agriculture
Accurate diagnosis of apple leaf diseases is crucial for improving the quality of apple production and promoting the development of the apple industry. However, apple leaf diseases do not differ significantly from image texture and structural information.
Lei Tang, Jizheng Yi, Xiaoyao Li
doaj   +1 more source

Comparing time‐lapse photography and traditional human observation in collecting crop pollinator visitation data Ajastetun valokuvauksen ja perinteisen suoran havainnoinnin vertailu kerättäessä tietoa pölyttäjien kukkakäynneistä viljelykasveilla

Agricultural and Forest Entomology, EarlyView.
Time‐lapse photography with commercially available trail cameras provides a competitive alternative to direct human observations for documenting pollinator flower visits, but its performance varies between crops. In apple, the cameras recorded more diverse pollinator assemblages than the human observer due to larger temporal coverage of the camera ...
Marjaana Toivonen, Paula Humberg
wiley   +1 more source

An improved multi‐scale YOLOv8 for apple leaf dense lesion detection and recognition

IET Image Processing
Apple leaf lesions present a challenge for their detection and recognition because of their wide variety of species, morphologies, uneven sizes, and complex backgrounds.
Shixin Huo, Na Duan, Zhizheng Xu
doaj   +1 more source

Comparing verbenone‐based repellents for ambrosia beetle management in eastern apple orchards

Agricultural and Forest Entomology, EarlyView.
Non‐native ambrosia beetles (Xylosandrus germanus, X. crassiusculus, Anisandrus maiche) damage high‐density apple orchards across the eastern United States, motivating the search for selective, semiochemical‐based repellent strategies. Across Ohio, New York and Pennsylvania, three verbenone formulations, sachets, SPLAT® VERB and a test SPLAT ...
Kelsey N. Tobin, Julie Baniszewski, Grzegorz Krawczyk, Michael E. Reding, Christopher M. Ranger, Monique J. Rivera   +5 more
wiley   +1 more source

Alternaria alternata leaf spot pathogens : genetics, evolutionary history and diagnostics [PDF]

The primary objective of this study was to characterise the Alternaria alternata species group. Particular focus was put on understanding the pathogens Alternaria mali and Alternaria gaisen, responsible for leaf spot diseases of apple and pear and of ...
Armitage, Andrew D.
core  

Web-Based AI System for Detecting Apple Leaf and Fruit Diseases

AgriEngineering
The present study seeks to improve the accuracy and reliability of disease identification in apple fruits and leaves through the use of state-of-the-art deep learning techniques.
Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci   +2 more
doaj   +1 more source

Oral Health and Well‐Being: Insights From Personal Narratives of Losing Teeth and Living With Dentures

Community Dentistry and Oral Epidemiology, EarlyView.
ABSTRACT Objectives To explore how individuals who have lost or have missing teeth and subsequently received dentures make sense of the factors influencing their oral health and well‐being. Methods Thematic and structural narrative analysis was used to evaluate 19 semi‐structured interview transcripts from a secondary dataset of United Kingdom adults ...
Heba Ramadan Salama, Jennifer Burr, Claire Elcock, Barry John Gibson   +3 more
wiley   +1 more source