AIMC Topic: Plant Diseases

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Assessing the performance of domain-specific models for plant leaf disease classification: a comprehensive benchmark of transfer-learning on open datasets.

Scientific reports May 30, 2025
Agriculture and its yields are indispensable to human life all over the planet. It is an essential part of many countries' economies and without it the world's population can not be fed. As such, guaranteeing harvest with minimal loss is a primary ob...
Plant Diseases Plant Leaves Crops, Agricultural Neural Networks, Computer Deep Learning
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Enhancing the dataset of CycleGAN-M and YOLOv8s-KEF for identifying apple leaf diseases.

PloS one May 30, 2025
Accurate diagnosis of apple diseases is vital for tree health, yield improvement, and minimizing economic losses. This study introduces a deep learning-based model to tackle issues like limited datasets, small sample sizes, and low recognition accura...
Algorithms Plant Diseases Malus Deep Learning Plant Leaves
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An intelligent framework for crop health surveillance and disease management.

PloS one May 23, 2025
The agricultural sector faces critical challenges, including significant crop losses due to undetected plant diseases, inefficient monitoring systems, and delays in disease management, all of which threaten food security worldwide. Traditional approa...
Neural Networks, Computer Deep Learning Humans Plant Diseases Internet of Things Cloud Computing Agriculture Crops, Agricultural
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Remote sensing-based detection of brown spot needle blight: a comprehensive review, and future directions.

PeerJ May 22, 2025
Pine forests are increasingly threatened by needle diseases, including Brown Spot Needle Blight (BSNB), caused by . BSNB leads to needle loss, reduced growth, significant tree mortality, and disruptions in global timber production. Due to its severit...
Plant Diseases Ascomycota Remote Sensing Technology Forests Pinus Plant Leaves
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Optimized convolutional neural networks for real-time detection and severity assessment of early blight in tomato (Solanum lycopersicum L.).

Fungal genetics and biology : FG & B Apr 24, 2025
Early blight, caused by Alternaria alternata, poses a critical challenge to tomato (Solanum lycopersicum L.) production, causing significant yield losses worldwide. Despite advancements in plant disease detection, existing methods often lack the robu...
Neural Networks, Computer Convolutional Neural Networks Plant Leaves Alternaria Solanum lycopersicum Plant Diseases
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A dual-branch model combining convolution and vision transformer for crop disease classification.

PloS one Apr 24, 2025
Computer vision holds tremendous potential in crop disease classification, but the complex texture and shape characteristics of crop diseases make disease classification challenging. To address these issues, this paper proposes a dual-branch model fo...
Plant Diseases Algorithms Neural Networks, Computer Crops, Agricultural
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Ambiguity-aware semi-supervised learning for leaf disease classification.

Scientific reports Apr 23, 2025
In deep learning, Semi-Supervised Learning is a highly effective technique to enhances neural network training by leveraging both labeled and unlabeled data. This process involves using a trained model to generate pseudo labels to the unlabeled sampl...
Neural Networks, Computer Musa Plant Leaves Plant Diseases Supervised Machine Learning Algorithms Deep Learning
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Improved Pine Wood Nematode Disease Diagnosis System Based on Deep Learning.

Plant disease Apr 23, 2025
Pine wilt disease caused by the pine wood nematode, , has profound implications for global forestry ecology. Conventional PCR methods need long operating time and are complicated to perform. The need for rapid and effective detection methodologies to...
Deep Learning Plant Diseases Tylenchida Nematoda Animals Pinus
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Deep learning based ensemble model for accurate tomato leaf disease classification by leveraging ResNet50 and MobileNetV2 architectures.

Scientific reports Apr 22, 2025
Global food security depends on tomato growing, but several fungal, bacterial, and viral illnesses seriously reduce productivity and quality, therefore causing major financial losses. Reducing these impacts depends on early, exact diagnosis of diseas...
Plant Diseases Plant Leaves Deep Learning Solanum lycopersicum
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Prediction of barberry witches' broom rust disease using artificial intelligence models: a case study in South Khorasan, Iran.

Scientific reports Apr 16, 2025
The South Khorasan Province in Iran is the main producer of seedless barberry, accounting for 98% of the country's production. This has led to significant economic growth in the region. However, the cultivation of barberry is threatened by the rust f...
Basidiomycota Berberis Puccinia Iran Plant Diseases Plant Leaves Neural Networks, Computer Artificial Intelligence Deep Learning
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