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Data · dataset · 2024

Dataset for Multispectral images acquired over potato fields registered on the e-Agrology platform to generate a database to estimate yields using remote sensing data and Machine Learning algorithms on the frame of Excellence in Agronomy project (LAC Use Cases in Peru)

Listed in International Potato Center

These NDVI images correspond to potato fields of small farmers in our study area located in the northern highlands of Peru, district of Chugay, department of La Libertad.

Description

The potato fields have been selected using a database collected with the e-Agroloy platform and flights made with UAVs at their maximum vegetative development in the main potato varieties such as Peruanita, Bretana, Amarilis, Poderosa and others.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65% · Satellite remote sensing 65%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
International Potato Centerdoi:10.21223/KRDLY313 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].dataverse_subject:computer-and-information-sciencesource · 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%)
concepts[modality].local:modality:remote-sensingenrichment · 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