AIMC Topic: Plant Diseases

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Enhanced residual-attention deep neural network for disease classification in maize leaf images.

Scientific reports Aug 12, 2025
Disease classification in maize plant is necessary for immediate treatment to enhance agricultural production and assure global food sustainability. Recent advancements in deep learning, specifically convolutional neural networks, have shown outstand...
Reproducibility of Results Deep Learning Zea mays Neural Networks, Computer Plant Diseases Image Processing, Computer-Assisted Plant Leaves
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Integrated phenotypic analysis, predictive modeling, and identification of novel trait-associated loci in a diverse Theobroma cacao collection.

BMC plant biology Aug 9, 2025
BACKGROUND: Cacao (Theobroma cacao L.) breeding and improvement rely on understanding germplasm diversity and trait architecture. This study characterized a cacao collection (173 accessions) evaluated in Puerto Rico, examining phenotypic diversity, t...
Phenotype Plant Diseases Plant Breeding Polymorphism, Single Nucleotide Cacao Quantitative Trait Loci Puerto Rico Machine Learning
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Lightweight grape leaf disease recognition method based on transformer framework.

Scientific reports Aug 7, 2025
Grape disease image recognition is an important part of agricultural disease detection. Accurately identifying diseases allows for timely prevention and control at an early stage, which plays a crucial role in reducing yield losses. This study addres...
Algorithms Vitis Plant Diseases Image Processing, Computer-Assisted Plant Leaves
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Ensemble-based sesame disease detection and classification using deep convolutional neural networks (CNN).

Scientific reports Aug 6, 2025
This study presents an ensemble-based approach for detecting and classifying sesame diseases using deep convolutional neural networks (CNNs). Sesame is a crucial oilseed crop that faces significant challenges from various diseases, including phyllody...
Sesamum Plant Leaves Plant Diseases Neural Networks, Computer Deep Learning Convolutional Neural Networks
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YOLO-LeafNet: a robust deep learning framework for multispecies plant disease detection with data augmentation.

Scientific reports Aug 5, 2025
Plant diseases significantly harm crops, resulting in significant economic losses across the globe. In order to reduce the harm that these diseases produce, plant diseases must be diagnosed accurately and timely manner. In this work, a YOLO-LeafNet a...
Capsicum Vitis Plant Diseases Zea mays Algorithms Deep Learning Image Processing, Computer-Assisted Plant Leaves
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Deep learning-based automatic diagnosis of rice leaf diseases using ensemble CNN models.

Scientific reports Jul 29, 2025
Rice diseases pose a critical threat to global crop yields, underscoring the need for rapid and accurate diagnostic tools to ensure effective crop management and productivity. Traditional diagnostic approaches often lack both precision and scalabilit...
Plant Leaves Oryza Plant Diseases Neural Networks, Computer Deep Learning
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DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI.

BMC plant biology Jul 28, 2025
OBJECTIVE: The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques.
Neural Networks, Computer Plant Diseases Malus Deep Learning Fruit
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A comprehensive analysis of YOLO architectures for tomato leaf disease identification.

Scientific reports Jul 24, 2025
Tomato leaf disease detection is critical in precision agriculture for safeguarding crop health and optimizing yields. This study compares the latest YOLO architectures, including YOLOv8, YOLOv9, YOLOv10, YOLOv11, and YOLOv12, using the Tomato-Villag...
Plant Diseases Plant Leaves Solanum lycopersicum
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An automated hybrid deep learning framework for paddy leaf disease identification and classification.

Scientific reports Jul 24, 2025
In India, agriculture remains the primary source of livelihood for many people. Pathogen attacks in crops and plants significantly diminish both the yield and quality of production, leading to financial losses. As a result, identifying diseases in cr...
Plant Leaves Oryza Image Processing, Computer-Assisted Crops, Agricultural Plant Diseases Algorithms Deep Learning
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A novel framework GRCornShot for corn disease detection using few shot learning with prototypical network.

Scientific reports Jul 21, 2025
Precision and timeliness in the detection of plant diseases are important to limit crop losses and maintain global food security. Much work has been performed to detect plant diseases using deep learning methods. However, deep learning techniques dem...
Algorithms Zea mays Neural Networks, Computer Deep Learning Plant Diseases
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