Results 51 to 60 of about 106,225 (101)

Proteomics of Plant Pathogenic Fungi

BioMed Research International, Volume 2010, Issue 1, 2010., 2010
Plant pathogenic fungi cause important yield losses in crops. In order to develop efficient and environmental friendly crop protection strategies, molecular studies of the fungal biological cycle, virulence factors, and interaction with its host are necessary.
Raquel González-Fernández, Elena Prats, Jesús V. Jorrín-Novo, Benjamin A. Garcia   +3 more
wiley   +1 more source

Advanced Spectroscopic, Imaging, and Nanotechnology Tools for Diagnosing Fungal Diseases in Fruits

Food Science &Nutrition, Volume 14, Issue 3, March 2026.
Schematic presentation shows various techniques applied for the detection of fungal diseases in fruits. ABSTRACT Fruits are a critical component of the human diet, as they provide essential dietary nutrients that play an important role in the functioning of the human body and maintaining health.
Vanshika Adiani, Archana Mishra
wiley   +1 more source

Robust Citrus Disease Diagnosis: A Hybrid CNN Framework for Multi‐Task Classification, Severity Estimation, and Cross‐Species Adaptation

Engineering Reports, Volume 8, Issue 2, February 2026.
We propose a hybrid CNN–ML approach to accurately classify diseases in lemon and orange leaves and assess their severity. Our model achieves high accuracy and demonstrates generalizability, showing promise for automated disease detection and management in citrus crops.
Sayma Akter Rupa, Khandoker Nosiba Arifin, Md Musfique Anwar   +2 more
wiley   +1 more source

The Role of Phyllosphere Microbes and Viruses in Biocontrol of Pathogenic Fungi

Microbial Biotechnology, Volume 18, Issue 10, October 2025.
Foliar microbiota employ multiple ecological strategies to inhibit fungal pathogens in the phyllosphere, including resource competition, production of antifungal metabolites, contact‐dependent killing, modulation of plant innate immunity and mycovirus‐mediated suppression.
Li Bi, Zahra F. Islam, Lok‐Hang Chan, Hang‐Wei Hu   +3 more
wiley   +1 more source

Common mycorrhizal networks enhance defense responses against pathogens in neighboring plants

iMetaOmics, 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, Yong Wei, Youlei Shen, Rongchun Zheng, Yajie Wang, Tingyu Duan, Zhibiao Nan   +6 more
wiley   +1 more source

Citrus Black Spot Symptoms on Fruit Exposed to Phyllosticta citricarpa Infections at Different Developmental Stages

Plant-Environment Interactions, Volume 6, Issue 1, February 2025.
ABSTRACT Citrus black spot (CBS), caused by Phyllosticta citricarpa, is an important fungal disease of citrus. Higher CBS severity has been associated with P. citricarpa infections at the young and green stages of fruit. The length of the fruit susceptibility period may be influenced by the amount of inoculum and the climate of the citrus growing ...
Providence Moyo, Régis Oliveira Fialho, Geraldo José Silva Junior, Paul Fourie   +3 more
wiley   +1 more source

Selecting hyperspectral bands and extracting features with a custom shallow convolutional neural network to classify citrus peel defects

Smart Agricultural Technology, 2023
Citrus Black Spot (CBS) causes considerable damage to the Florida citrus industry. Early detection of CBS, especially in the presence of other peel blemishes, would enable better mapping and control of CBS spread, reduce wasted fruit, and permit early ...
Quentin Frederick, Thomas Burks, Adam Watson, Pappu Kumar Yadav, Jianwei Qin, Moon Kim, Mark A. Ritenour   +6 more
doaj   +1 more source

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

IET 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, Sevim Ceylan Bocekci, Cengiz Safak, Kazim Yildiz   +3 more
wiley   +1 more source

Image‐based crop disease detection using machine learning

Plant 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, Ting Xiang Neik, Monica F. Danilevicz, Shriprabha R. Upadhyaya, Jacqueline Batley, David Edwards   +5 more
wiley   +1 more source

Citrus Diseases Exotic to Florida: Citrus Tristeza Virus– Stem Pitting (CTV-SP)

EDIS, 2006
Citrus is susceptible to a large number of diseases caused by plant pathogens. Economic losses due to plant diseases can be severe, but fortunately, not all pathogens attacking citrus are present in Florida.
Kuang Ren Chung, Ronald H. Brlansky
doaj   +5 more sources