# Powdery Mildew Fungal Diseases

**Type:** Topics  
**Canonical URL:** https://scholariq.org/topics/powdery-mildew-fungal-diseases/

## Facts

| Field | Value |
| --- | --- |
| Description | This cluster of papers focuses on the study of powdery mildew fungi, their genetic analysis, resistance mechanisms, epidemiology, molecular phylogeny, host-pathogen interactions, and ontogenic resistance. The research covers various plant species affected by powdery mildews, with a particular emphasis on grapevine. |
| Domain | Life Sciences |
| Field | Agricultural and Biological Sciences |
| OpenAlex ID | t13214 |
| Works | 14 |

## Topic papers all

- [Natural History of Multiple Sclerosis Symptoms](https://scholariq.org/papers/natural-history-of-multiple-sclerosis-symptoms/)
- [Epidemic asthma and the role of the fungal mold Alternaria alternata](https://scholariq.org/papers/epidemic-asthma-and-the-role-of-the-fungal-mold-alternaria-alternata/)
- [An Automated Approach for Accurate Detection and Classification of Kiwi Powdery Mildew Disease](https://scholariq.org/papers/an-automated-approach-for-accurate-detection-and-classification-of-kiwi-powdery/)
- [Effects of Climate Change on Epidemics of Powdery Mildew in Winter Wheat in China](https://scholariq.org/papers/effects-of-climate-change-on-epidemics-of-powdery-mildew-in-winter-wheat-in/)
- [Detection of powdery mildew on strawberry leaves based on DAC-YOLOv4 model](https://scholariq.org/papers/detection-of-powdery-mildew-on-strawberry-leaves-based-on-dac-yolov4-model/)
- [Hybrid SVM-LR Classifier for Powdery Mildew Disease Prediction in Tomato Plant](https://scholariq.org/papers/hybrid-svm-lr-classifier-for-powdery-mildew-disease-prediction-in-tomato-plant/)
- [Mapping quantitative trait loci for fruit traits and powdery mildew resistance in melon (Cucumis melo)](https://scholariq.org/papers/mapping-quantitative-trait-loci-for-fruit-traits-and-powdery-mildew-resistance/)
- [Application of Terahertz Imaging to Water Content Measurement](https://scholariq.org/papers/application-of-terahertz-imaging-to-water-content-measurement/)
- [Decay Control and Quality Maintenance after Moist Air Heat Treatment of Individually Plastic-wrapped Nectarines](https://scholariq.org/papers/decay-control-and-quality-maintenance-after-moist-air-heat-treatment-of/)
- [Recognition of Strawberry Powdery Mildew in Complex Backgrounds: A Comparative Study of Deep Learning Models](https://scholariq.org/papers/recognition-of-strawberry-powdery-mildew-in-complex-backgrounds-a-comparative/)
- [Occurrence of Powdery Mildew Caused by <i>Erysiphe buhrii</i> on <i>Dianthus chinensis</i> in Inner Mongolia, China](https://scholariq.org/papers/occurrence-of-powdery-mildew-caused-by-i-erysiphe-buhrii-i-on-i-dianthus/)
- [Hybrid CNN-Random Forest Framework for Elevated Accuracy in Powdery Mildew Disease Classification](https://scholariq.org/papers/hybrid-cnn-random-forest-framework-for-elevated-accuracy-in-powdery-mildew/)
- [In-Field Disease Symptom Detection and Localisation Using Explainable Deep Learning: Use Case for Downy Mildew in Grapevine](https://scholariq.org/papers/in-field-disease-symptom-detection-and-localisation-using-explainable-deep/)
- [Effectiveness of Background Segmentation Algorithm and Deep Learning Technique for Detecting Anthracnose (leaf blight) and Golovinomyces cichoracearum (powdery mildew) in Rubber Plant](https://scholariq.org/papers/effectiveness-of-background-segmentation-algorithm-and-deep-learning-technique/)

## Topic primary papers

- [An Automated Approach for Accurate Detection and Classification of Kiwi Powdery Mildew Disease](https://scholariq.org/papers/an-automated-approach-for-accurate-detection-and-classification-of-kiwi-powdery/)
- [Hybrid SVM-LR Classifier for Powdery Mildew Disease Prediction in Tomato Plant](https://scholariq.org/papers/hybrid-svm-lr-classifier-for-powdery-mildew-disease-prediction-in-tomato-plant/)
- [Occurrence of Powdery Mildew Caused by <i>Erysiphe buhrii</i> on <i>Dianthus chinensis</i> in Inner Mongolia, China](https://scholariq.org/papers/occurrence-of-powdery-mildew-caused-by-i-erysiphe-buhrii-i-on-i-dianthus/)

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Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.