Article

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

2020-08-28

Abstract excerpt

The plant pathogen Phytophthora infestans causes the severe disease late blight in potato, which results in a huge loss for potato production. Automatic and accurate disease lesion segmentation enables fast evaluation of disease severity and assessment of disease progress for precision crop breeding. Deep learning has gained tremendous success in computer vision tasks for image classification, object detection an...

Topics

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

Identifiers and source

Literature Corpus work: aa4ec290-cd08-5723-9a07-89790d8cb8ca
DOI: 10.1101/2020.08.27.263186

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Automatic late blight lesion recognition and severity quantification based on field imagery of diverse potato genotypes by deep learningDOI 10.1101/2020.08.27.263186Read

Automatic Detection, Quantification and Classification Method for Plant Foliar Diseases Based on Deep LearningSemantic proximity Read

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

Deep learning architectures for semantic segmentation and automatic estimation of severity of foliar symptoms caused by diseases or pestsSemantic proximity Read

ScabyNet, a user-friendly application for detecting common scab in potato tubers using deep learning and morphological traits.Semantic proximity Read

Plant Leaf Disease Detection Using Deep Learning: A Multi-Dataset ApproachSemantic proximity Read

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

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

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

A Lightweight Deep Learning Architecture for Potato Leaf Disease Detection: A Comprehensive SurveySemantic proximity Read

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

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

From Canopy Images to Organ-Level Disease Assessments: A Scalable Approach to Measure Quantitative Resistance in the FieldSemantic proximity Read