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Data · dataset · 2024

Dataset for: Data for precision agriculture using multispectral images and traits at field level to estimate biomass and yields in wheat crops sowed in the Molina station (INIA - Lima).

Listed in International Potato Center

It was a wheat trial conducted in the Molina station (INIA - Lima).

Description

Five nitrogen treatments and six replications were applied to sweep a wide range of biomass and yield values. The aim of this work was to use Machine Learning algorithms and multispectral images acquired from unnamed aerial vehicles to estimate yield and biomass of wheat crops.

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Where it is published

Catalogue records · 1

Topics

From keywords
Life Sciences
Inferred from text
Image 65%
Provenance · 1 source records, 10 field assertions
SourceKeyLast seenRaw
International Potato Centerdoi:10.21223/RBYX5V12 d agoJSON v1
FieldAssertionExtractorEvidence
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:life-sciencesmapping · data cipotato orgconnector:data_cipotato_org@1.0.0/subjects
concepts[modality].local:modality:imageenrichment · data cipotato orgkeyword-concept-rules@1.0.0title+description (65%)
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