AIMC Topic: Plant Diseases

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Spatial attention-guided pre-trained networks for accurate identification of crop diseases.

Scientific reports Jul 2, 2025
The maintenance of agricultural productivity is critically dependent on the efficient and accurate identification of plant diseases. As observed, the manual inspection to the illness is often inefficient and error-prone, particularly under conditions...
Plant Leaves Crops, Agricultural Plant Diseases Neural Networks, Computer Algorithms
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Monitoring and predicting cotton leaf diseases using deep learning approaches and mathematical models.

Scientific reports Jul 2, 2025
Cotton, the backbone of global textile production, demands sustainable agricultural practices to ensure fiber, food, and environmental security. Cotton crop play an essential role in farming economies; however, production is sometimes affected by var...
Neural Networks, Computer Plant Leaves Plant Diseases Gossypium Deep Learning Models, Theoretical
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AI and IoT-powered edge device optimized for crop pest and disease detection.

Scientific reports Jul 2, 2025
Climate change exacerbates the challenges of maintaining crop health by influencing invasive pest and disease infestations, especially for cereal crops, leading to enormous yield losses. Consequently, innovative solutions are needed to monitor crop h...
Crops, Agricultural Plant Diseases Agriculture Internet of Things Neural Networks, Computer Artificial Intelligence
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Multiclass semantic segmentation for prime disease detection with severity level identification in Citrus plant leaves.

Scientific reports Jul 1, 2025
Agriculture provides the basics for producing food, driving economic growth, and maintaining environmental sustainability. On the other hand, plant diseases have the potential to reduce crop productivity and raise expenses, posing a risk to food secu...
Citrus Plant Diseases Semantics Algorithms Deep Learning Image Processing, Computer-Assisted Plant Leaves
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Plant leaf disease detection using vision transformers for precision agriculture.

Scientific reports Jul 1, 2025
Plant diseases cause major crop losses worldwide, making early detection essential for sustainable farming. Traditional methods need large training datasets, are expensive, and may overfit. In leaf image analysis, convolutional neural networks (CNNs)...
Crops, Agricultural Plant Diseases Neural Networks, Computer Image Processing, Computer-Assisted Agriculture Plant Leaves
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Integrating multi-omics and machine learning for disease resistance prediction in legumes.

TAG. Theoretical and applied genetics. Theoretische und angewandte Genetik Jun 27, 2025
Multi-omics assisted prediction of disease resistance mechanisms using machine learning has the potential to accelerate the breeding of resistant legume varieties. Grain legumes, such as soybean (Glycine max (L.) Merr.), chickpea (Cicer arietinum L.)...
Disease Resistance Plant Breeding Fabaceae Plant Diseases Genomics Multiomics Machine Learning
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Powdery mildew resistance prediction in Barley (Hordeum Vulgare L) with emphasis on machine learning approaches.

Scientific reports Jun 4, 2025
By employing machine-learning models, this study utilizes agronomical and molecular features to predict powdery mildew disease resistance in Barley (Hordeum Vulgare L). A 130-line F8-F9 barley population caused Badia and Kavir to grow at the Gonbad K...
Disease Resistance Bayes Theorem Plant Diseases Hordeum Neural Networks, Computer Algorithms Ascomycota Machine Learning Phenotype
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Mulberry leaf disease detection by CNN-ViT with XAI integration.

PloS one Jun 4, 2025
Mulberry leaf disease detection is vital for maintaining the health and productivity of mulberry crops. In this paper, a novel approach was proposed by integrating explainable artificial intelligence (XAI) techniques with a convolutional neural netwo...
Artificial Intelligence Algorithms Neural Networks, Computer Plant Diseases Plant Leaves Morus
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Artificial Intelligence-Assisted Breeding for Plant Disease Resistance.

International journal of molecular sciences Jun 1, 2025
Harnessing state-of-the-art technologies to improve disease resistance is a critical objective in modern plant breeding. Artificial intelligence (AI), particularly deep learning and big model (large language model and large multi-modal model), has em...
Disease Resistance Plant Breeding Artificial Intelligence Deep Learning Genomics Plant Diseases
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Rapid and quantitative detection of Botryosphaeria dothidea by surface-enhanced Raman spectroscopy with size-controlled spherical metal nanoparticles combined with machine learning.

International journal of food microbiology May 30, 2025
Botryosphaeria dothidea infection has become a major factor affecting the quality of postharvest fruits, so detection of B. dothidea infection is very important to control the spread of infection and ensure food safety. In this study, we built a moni...
Metal Nanoparticles Fruit Plant Diseases Ascomycota Machine Learning Spectrum Analysis, Raman Particle Size Food Contamination Food Microbiology
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