AIMC Topic: Plant Diseases

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Coffee Leaf Rust Disease Detection and Implementation of an Edge Device for Pruning Infected Leaves via Deep Learning Algorithms.

Sensors (Basel, Switzerland) Dec 16, 2024
Global warming and extreme climate conditions caused by unsuitable temperature and humidity lead to coffee leaf rust () diseases in coffee plantations. Coffee leaf rust is a severe problem that reduces productivity. Currently, pesticide spraying is c...
Algorithms Deep Learning Plant Leaves Neural Networks, Computer Basidiomycota Plant Diseases Coffee Indonesia Coffea
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Incremental RPN: Hierarchical Region Proposal Network for Apple Leaf Disease Detection in Natural Environments.

IEEE/ACM transactions on computational biology and bioinformatics Dec 10, 2024
Apple leaf diseases can seriously affect apple production and quality, and accurately detecting them can improve the efficiency of disease monitoring. Owing to the complex natural growth environment, apple leaf lesions may be easily confused with bac...
Plant Leaves Plant Diseases Image Processing, Computer-Assisted Computational Biology Malus Neural Networks, Computer Algorithms
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Potato Late Blight Outbreak: A Study on Advanced Classification Models Based on Meteorological Data.

Sensors (Basel, Switzerland) Dec 9, 2024
While past research has emphasized the importance of late blight infection detection and classification, anticipating the potato late blight infection is crucial from the economic point of view as it helps to significantly reduce the production cost....
Humans Disease Outbreaks Logistic Models Machine Learning Solanum tuberosum Phytophthora infestans Plant Diseases
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Effective feature selection based HOBS pruned- ELM model for tomato plant leaf disease classification.

PloS one Dec 5, 2024
Tomato cultivation is expanding rapidly, but the tomato sector faces significant challenges from various sources, including environmental (abiotic stress) and biological (biotic stress or disease) threats, which adversely impact the crop's growth, re...
Plant Leaves Algorithms Neural Networks, Computer Plant Diseases Solanum lycopersicum Machine Learning Deep Learning
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Detection of Apple Proliferation Disease Using Hyperspectral Imaging and Machine Learning Techniques.

Sensors (Basel, Switzerland) Dec 4, 2024
Apple proliferation is among the most important diseases in European fruit production. Early and reliable detection enables farmers to respond appropriately and to prevent further spreading of the disease. Traditional phenotyping approaches by human ...
Machine Learning Algorithms Hyperspectral Imaging Plant Diseases Malus Image Processing, Computer-Assisted Plant Leaves
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Assessing Huanglongbing Severity and Canopy Parameters of the Huanglongbing-Affected Citrus in Texas Using Unmanned Aerial System-Based Remote Sensing and Machine Learning.

Sensors (Basel, Switzerland) Nov 29, 2024
Huanglongbing (HLB), also known as citrus greening disease, is a devastating disease of citrus. However, there is no known cure so far. Recently, under Section 24(c) of the Federal Insecticide, Fungicide, and Rodenticide Act (FIFRA), a special local ...
Remote Sensing Technology Plant Diseases Unmanned Aerial Devices Machine Learning Citrus Texas
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Human limits in machine learning: prediction of potato yield and disease using soil microbiome data.

BMC bioinformatics Nov 26, 2024
BACKGROUND: The preservation of soil health is a critical challenge in the 21st century due to its significant impact on agriculture, human health, and biodiversity. We provide one of the first comprehensive investigations into the predictive potenti...
Plant Diseases Solanum tuberosum Bayes Theorem Microbiota Soil Soil Microbiology Humans Machine Learning
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Visualizing Plant Disease Distribution and Evaluating Model Performance for Deep Learning Classification with YOLOv8.

Pathogens (Basel, Switzerland) Nov 22, 2024
This paper presents a novel methodology for plant disease detection using YOLOv8 (You Only Look Once version 8), a state-of-the-art object detection model designed for real-time image classification and recognition tasks. The proposed approach involv...
Plant Diseases Deep Learning Image Processing, Computer-Assisted
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Machine learning-based identification of general transcriptional predictors for plant disease.

The New phytologist Nov 21, 2024
This study investigated the generalizability of Arabidopsis thaliana immune responses across diverse pathogens, including Botrytis cinerea, Sclerotinia sclerotiorum, and Pseudomonas syringae, using a data-driven, machine learning approach. Machine le...
Reproducibility of Results Transcriptome Machine Learning Gene Expression Regulation, Plant Arabidopsis Botrytis Pseudomonas syringae Transcription, Genetic Plant Diseases Plant Immunity Disease Resistance Ascomycota
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HCAR-AM ground nut leaf net: Hybrid convolution-based adaptive ResNet with attention mechanism for detecting ground nut leaf diseases with adaptive segmentation.

Network (Bristol, England) Nov 17, 2024
Estimating the optimal answer is expensive for huge data resources that decrease the functionality of the system. To solve these issues, the latest groundnut leaf disorder identification model by deep learning techniques is implemented. The images ar...
Models, Biological Plant Diseases Arachis Image Processing, Computer-Assisted Plant Leaves Deep Learning Convolutional Neural Networks
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