Results 51 to 60 of about 690 (177)

Multiclass Fruit Disease and Maturity Classification Using Hybrid Deep Neural and Transformer Models With Explainable AI Techniques

open access: yesInternational Journal of Intelligent Systems, Volume 2026, Issue 1, 2026.
The principal aim of this research work is to develop an efficient and explainable deep learning (DL) framework for the classification of fruit diseases. Timely and accurate detection of diseases in plants is essential in order to reduce the loss of crops and high‐quality yields.
Ranjith Kumar Anandan   +5 more
wiley   +1 more source

Lesões melanocíticas em suínos abatidos para consumo

open access: yesArquivo Brasileiro de Medicina Veterinária e Zootecnia, 2013
O presente estudo teve como principais objetivos conhecer a taxa de ocorrência de lesões melanocíticas (melanose, melanocitomas e melanomas) em suínos abatidos para consumo e identificar possíveis padrões de distinção e de classificação macroscópica ...
C. Teixeira   +3 more
doaj   +1 more source

Estudo de viabilidade da aplicação de bioativos para inibição de melanose em camarões resfriados (Litopenaeus vannamei) [PDF]

open access: yes, 2021
TCC (graduação) - Universidade Federal de Santa Catarina. Centro Tecnológico. Engenharia de Alimentos.O camarão é considerado uma iguaria gastronômica e possui elevado consumo em todo o mundo.
Fischer, Betina Laisa
core  

Common mycorrhizal networks enhance defense responses against pathogens in neighboring plants

open access: yesiMetaOmics, Volume 2, Issue 1, March 2025.
The common mycorrhizal networks (CMNs) provide a channel for interplant communication, which enables plants of different species to prepare for pathogen infections without direct exposure. The CMNs change the microbial abundance and community structure of the neighboring plants following pathogen infection in the donor plants, which further enhances ...
Yingde Li   +6 more
wiley   +1 more source

Advancements in smart agriculture: A systematic literature review on state‐of‐the‐art plant disease detection with computer vision

open access: yesIET Computer Vision, Volume 19, Issue 1, January/December 2025.
Plant diseases are known to cause negative impacts and financial losses which are usually found on plant leaves and detection using traditional methods is a labor‐intensive process. Smart agriculture applications based on computer vision are being developed to detect and control of plant diseases.
Esra Yilmaz   +3 more
wiley   +1 more source

Citrus melanose and its control /

open access: yes, 1927
no.1474 ...
John R. Winston   +2 more
openaire   +3 more sources

Review of Applications of Microneedling in Melasma

open access: yesJournal of Cosmetic Dermatology, Volume 24, Issue 1, January 2025.
ABSTRACT Background Melasma, a common skin pigmentation disease, can negatively impact patients' mental health, social interactions, and physical appearance. Although we now have several treatments accessible, such as medicines, chemical peels, and phototherapy, which can help ease symptoms to some extent, the requirement for a long‐term effective and ...
Wenwen Chen, Xingling Jian, Bo Yu
wiley   +1 more source

In vitro and in vivo screening of fungicides for controlling citrus melanose caused by Diaporthe citri

open access: yes浙江大学学报. 农业与生命科学版, 2010
To verify the most efficacious fungicide for controlling citrus melanose caused by Diaporthe citri (Phomopsis citri), the inhibitory effects of four fungicides on the mycelial growth and conidial germination were assayed.
CHEN Guo-qing   +3 more
doaj   +1 more source

Image‐based crop disease detection using machine learning

open access: yesPlant Pathology, Volume 74, Issue 1, Page 18-38, January 2025.
Image‐based crop disease detection using machine learning provides a faster, more accurate alternative to traditional methods, with advancements in AI and imaging platforms expanding its effectiveness. Abstract Crop disease detection is important due to its significant impact on agricultural productivity and global food security.
Aria Dolatabadian   +5 more
wiley   +1 more source

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