Hidden in plain sight: a molecular field survey of three wheat leaf blotch fungal diseases in North-Western Europe shows co-infection is widespread
Sign Up to like & getrecommendations! Published in 2021 at "European Journal of Plant Pathology"
DOI: 10.1007/s10658-021-02298-5
Abstract: Wheat (Triticum aestivum L.) yields are commonly affected by foliar infection by fungal pathogens. Of these, three wheat leaf blotch fungal diseases, septoria nodorum blotch (SNB), tan spot (TS) and septoria tritici blotch (STB), caused… read more here.
Keywords: three wheat; wheat; infection; wheat leaf ... See more keywords
Improving Wheat Leaf Disease Classification: Evaluating Augmentation Strategies and CNN-Based Models With Limited Dataset
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3397570
Abstract: Global food security is seriously threatened by wheat leaf disease, which makes effective and precise disease detection and classification techniques necessary. For efficient disease control and the best possible crop health, timely identification and precise… read more here.
Keywords: classification; disease; leaf disease; augmentation ... See more keywords
A Comprehensive Approach Toward Wheat Leaf Disease Identification Leveraging Transformer Models and Federated Learning
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Access"
DOI: 10.1109/access.2024.3438544
Abstract: Wheat is one of the most extensively cultivated crops worldwide that contributes significantly to global food caloric and protein production and is grown on millions of hectares yearly. However, diseases like brown rust, septoria, yellow… read more here.
Keywords: disease identification; transformer models; wheat; federated learning ... See more keywords
A CNN-LSVM MODEL FOR IMBALANCED IMAGES IDENTIFICATION OF WHEAT LEAF
Sign Up to like & getrecommendations! Published in 2019 at "Neural Network World"
DOI: 10.14311/nnw.2019.29.021
Abstract: In order to improve the accuracy of convolutional neural networks (CNN) in imbalanced dataset classification, a novel hierarchical CNN-LSVM is proposed. Considering the imbalance in the number and spatial distribution of wheat leaf disease images,… read more here.
Keywords: model; cnn lsvm; wheat leaf; cnn ... See more keywords
The Virulence Spectrum of the Wheat Leaf Rust Population Analyzed in the Czech Republic from 2002 to 2011
Sign Up to like & getrecommendations! Published in 2018 at "Czech Journal of Genetics and Plant Breeding"
DOI: 10.17221/40/2014-cjgpb
Abstract: The research report presents a summary of wheat leaf rust virulence surveys in the Czech Republic from 2002 to 2011. Determination of virulence was based on infection types on Thatcher near-isogenic lines (NILs) with the… read more here.
Keywords: virulence; republic 2002; leaf rust; czech republic ... See more keywords
Wheat leaf rust (Puccinia triticina Eriks.) virulence frequency and detection of resistance genes in wheat cultivars registered in the Czech Republic in 2016–2018
Sign Up to like & getrecommendations! Published in 2020 at "Czech Journal of Genetics and Plant Breeding"
DOI: 10.17221/86/2019-cjgpb
Abstract: In 2016–2018 virulence of the Czech wheat leaf rust population was studied on Thatcher near-isogenic lines, carrying different Lr genes, and 130 leaf rust isolates. Virulence to Lr9 was found only sporadically. Virulence frequency to… read more here.
Keywords: wheat leaf; virulence; 2016 2018; leaf rust ... See more keywords
Fine Mapping of the Wheat Leaf Rust Resistance Gene LrLC10 (Lr13) and Validation of Its Co-segregation Markers
Sign Up to like & getrecommendations! Published in 2020 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2020.00470
Abstract: Wheat leaf rust, caused by the fungus Puccinia triticina Eriks. (Pt), is a destructive disease found throughout common wheat production areas worldwide. At its adult stage, wheat cultivar Liaochun10 is resistant to leaf rust and… read more here.
Keywords: wheat; gene; wheat leaf; leaf rust ... See more keywords
GLNet: global-local feature network for wheat leaf disease image classification
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2024.1471705
Abstract: Addressing the issues with insufficient multi-scale feature perception and incomplete understanding of global information in traditional convolutional neural networks for image classification of wheat leaf disease, this paper proposes a global local feature network, i.e.… read more here.
Keywords: leaf disease; global local; image; local feature ... See more keywords
Genetic and wind field analysis of wheat leaf rust (Puccinia triticina) dispersal: from winter sources in Gansu and Shaanxi to summer epidemics in China
Sign Up to like & getrecommendations! Published in 2025 at "Frontiers in Plant Science"
DOI: 10.3389/fpls.2025.1558898
Abstract: Wheat leaf rust caused by Puccinia triticina (Pt) is one of the most serious diseases affecting wheat worldwide. Given that China is the world’s largest wheat-producing country, there is a lack of comprehensive understanding regarding… read more here.
Keywords: analysis; leaf rust; wheat leaf; winter ... See more keywords
Hyperspectral Remote Sensing for Early Detection of Wheat Leaf Rust Caused by Puccinia triticina
Sign Up to like & getrecommendations! Published in 2023 at "Agriculture"
DOI: 10.3390/agriculture13061186
Abstract: Early crop disease detection is one of the most important tasks in plant protection. The purpose of this work was to evaluate the early wheat leaf rust detection possibility using hyperspectral remote sensing. The first… read more here.
Keywords: wheat leaf; detection; remote sensing; hyperspectral remote ... See more keywords
MSDP-SAM2-UNet: A Novel Multi-Scale and Dual-Path Model for Wheat Leaf Disease Segmentation Based on SAM2-UNet
Sign Up to like & getrecommendations! Published in 2025 at "Applied Sciences"
DOI: 10.3390/app152111778
Abstract: Wheat is one of the world’s essential crops, and the presence of foliar diseases significantly affects both the yield and quality of wheat. Accurate identification of wheat leaf diseases is crucial. However, traditional segmentation models… read more here.
Keywords: leaf disease; msdp sam2; segmentation; wheat leaf ... See more keywords