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Data · dataset · 2023

Using deep learning to estimate symptom score of SPVD in sweetpotato crops

Listed in International Potato Center

It is the first deep learning approach for an image-based analysis developed in Python to estimate the symptom score of sweetpotato virus disease (SPVD), the most important disease affecting sweetpotato, evaluated by experts at the field level.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Disease 75%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
International Potato Centerdoi:10.21223/NDYA1O13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[disease].local:disease:diseaseenrichment · data cipotato orgkeyword-concept-rules@1.0.0title+description (75%)
concepts[field].dataverse_subject:agricultural-sciencessource · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[field].dataverse_subject:computer-and-information-sciencesource · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[field].local:field:computer-science-aimapping · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[field].local:field:life-sciencesmapping · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
created_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
descriptionsource · data cipotato orgconnector:data_cipotato_org@1.0.0/description
publication_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
titlesource · data cipotato orgconnector:data_cipotato_org@1.0.0/name
updated_datesource · data cipotato orgconnector:data_cipotato_org@1.0.0
version_labelsource · data cipotato orgconnector:data_cipotato_org@1.0.0