AIMC Topic: Plant Diseases

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Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning.

Phytopathology Aug 24, 2017
Northern leaf blight (NLB) can cause severe yield loss in maize; however, scouting large areas to accurately diagnose the disease is time consuming and difficult. We demonstrate a system capable of automatically identifying NLB lesions in field-acqui...
Ascomycota Plant Diseases Automation Machine Learning Image Processing, Computer-Assisted Plant Leaves Zea mays
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Automatic Image-Based Plant Disease Severity Estimation Using Deep Learning.

Computational intelligence and neuroscience Jul 5, 2017
Automatic and accurate estimation of disease severity is essential for food security, disease management, and yield loss prediction. Deep learning, the latest breakthrough in computer vision, is promising for fine-grained disease severity classificat...
Plant Diseases Malus Neural Networks, Computer Machine Learning
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Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers.

Scientific reports Jun 23, 2017
We investigated the feasibility and potentiality of presymptomatic detection of tobacco disease using hyperspectral imaging, combined with the variable selection method and machine-learning classifiers. Images from healthy and TMV-infected leaves wit...
Spectrum Analysis Nicotiana Image Processing, Computer-Assisted Plant Diseases Algorithms Phenotype Machine Learning
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Deep Neural Networks Based Recognition of Plant Diseases by Leaf Image Classification.

Computational intelligence and neuroscience Jun 22, 2016
The latest generation of convolutional neural networks (CNNs) has achieved impressive results in the field of image classification. This paper is concerned with a new approach to the development of plant disease recognition model, based on leaf image...
Neural Networks, Computer Algorithms Reproducibility of Results Image Processing, Computer-Assisted Databases, Factual Plant Leaves Plant Diseases
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NBSPred: a support vector machine-based high-throughput pipeline for plant resistance protein NBSLRR prediction.

Bioinformatics (Oxford, England) Dec 9, 2015
UNLABELLED: The nucleotide binding site leucine-rich repeats (NBSLRRs) belong to one of the largest known families of disease resistance genes that encode resistance proteins (R-protein) against the pathogens of plants. Various defence mechanisms hav...
Conserved Sequence Plant Diseases Arabidopsis Support Vector Machine Plant Proteins Solanum lycopersicum Amino Acid Sequence Nucleotides
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Identification of novel Xanthomonas euvesicatoria type III effector proteins by a machine-learning approach.

Molecular plant pathology Aug 15, 2015
The Gram-negative bacterium Xanthomonas euvesicatoria (Xcv) is the causal agent of bacterial spot disease in pepper and tomato. Xcv pathogenicity depends on a type III secretion (T3S) system that delivers effector proteins into host cells to suppress...
Bacterial Secretion Systems Base Composition Capsicum Nicotiana Mutation Protein Transport Plant Leaves Plant Cells Plant Diseases Xanthomonas Bacterial Proteins Machine Learning Phylogeny
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An efficient plant disease detection using transfer learning approach.

Scientific reports May 30, 2025
Plant diseases pose significant challenges to farmers and the agricultural sector at large. However, early detection of plant diseases is crucial to mitigating their effects and preventing widespread damage, as outbreaks can severely impact the produ...
Plant Leaves Crops, Agricultural Plant Diseases Machine Learning Image Processing, Computer-Assisted
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Towards precision agriculture tea leaf disease detection using CNNs and image processing.

Scientific reports May 21, 2025
In this study, we introduce a groundbreaking deep learning (DL) model designed for the precise task of classifying common diseases in tea leaves, leveraging advanced image analysis techniques. Our model is distinguished by its complex multi-layer arc...
Neural Networks, Computer Tea Image Processing, Computer-Assisted Plant Diseases Deep Learning Plant Leaves Agriculture Camellia sinensis
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Potato plant disease detection: leveraging hybrid deep learning models.

BMC plant biology May 16, 2025
Agriculture, a crucial sector for global economic development and sustainable food production, faces significant challenges in detecting and managing crop diseases. These diseases can greatly impact yield and productivity, making early and accurate d...
Solanum tuberosum Plant Leaves Neural Networks, Computer Plant Diseases Deep Learning
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Research on agricultural disease recognition methods based on very large Kernel convolutional network-RepLKNet.

Scientific reports May 15, 2025
Agricultural diseases pose significant challenges to plant production. With the rapid advancement of deep learning, the accuracy and efficiency of plant disease identification have substantially improved. However, conventional convolutional neural ne...
Neural Networks, Computer Image Processing, Computer-Assisted Agriculture Plant Diseases Algorithms Deep Learning
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