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Data · dataset · 2025

Kernel Ridge Regression model to estimate quinoa yields

Listed in International Potato Center

Description

An algorithm based on Kernel Ridge Regression (KRR) with a Gaussian kernel was selected to model complex and nonlinear relationships between multispectral imagery and digital surface model (DSM) features and the yields of 25 quinoa accessions from the Andean Crops Research Center (CICA), Faculty of Agricultural Sciences, National University of San Antonio Abad del Cusco

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Where it is published

Catalogue records · 1

Topics

Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
International Potato Centerdoi:10.21223/P3/YW1CCY13 d agoJSON v1
FieldAssertionExtractorEvidence
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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