Article

Advanced Disease Monitoring and Severity Quantification for Greenhouse Management Using Multispectral Imaging

2024-01-29

Abstract excerpt

This research delves into the intricate challenges confronting the agricultural sector, with a specialized focus on mitigating infections in tomato crops, particularly powdery mildew induced by the Leveillula Taurica pathogen. Tomatoes, renowned for their nutritional richness, are vital to global food security. However, conventional methodologies for disease detection exhibit both laborious processes and limited a...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 41fad262-8bde-5768-bbb8-4220b08e83c3
DOI: 10.20944/preprints202401.1973.v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Advanced Disease Monitoring and Severity Quantification for Greenhouse Management Using Multispectral ImagingDOI 10.20944/preprints202401.1973.v1Read

A Comprehensive Image Dataset of Fruit and Leaf Diseases Across Six Horticultural Crops for Deep Learning ApplicationsSemantic proximity Read

Towards high throughput in-field detection and quantification of wheat foliar diseases with deep learningSemantic proximity Read

Deep Learning for Tomato Disease Detection and Severity Assessment: A Systematic Analytical Review of Methods, Datasets, and ChallengesSemantic proximity Read

A Novel Multi Class Real World Fruit and Leaf Disease Image Dataset for Crop Health AnalysisSemantic proximity Read

Lightweight Visual Detection Framework for Complex Background Grape Leaf Disease IdentificationSemantic proximity Read

GuavaVision AI: An Explainable Deep Learning Framework for Automated Classification, Lesion Localization, and Segmentation of Guava DiseasesSemantic proximity Read

Aiming at decision making in plant disease protection and phenotyping by the use of optical sensorsSemantic proximity Read

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learningSemantic proximity Read

Deep Learning in Precision Phytopathology: A Comprehensive Survey of CNN Architectures for Disease Detection and Severity QuantificationSemantic proximity Read

An Ensemble Convolutional Neural Network Framework for Automated Mango Leaf Disease DetectionSemantic proximity Read

LeafyResNet: Fusarium Wilt Detection in Lettuce Using UAV RGB Imaging and Advanced Deep Learning ModelSemantic proximity Read

High-Resolution Leaf Image Sequences with Geometric Alignment for Dynamic Phenotyping of Foliar Diseases.Semantic proximity Read