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Data · dataset · 2023

Automatic detection of potato plots to retrieve just the vegetation data of multispectral images

Listed in International Potato Center

These are two scripts in *.m format implemented in the MATLAB programming language.

Description

These scripts are based in detection objects using as inputs images with aim to detect potato plots, label them, and retrieve the information of pixels of each potato plot. These scripts were developed as tools for estimating the Late Blight infection in potato crops using vegetation indices computed of multispectral images acquired from UAVs.

Links

Where it is published

Catalogue records · 1

Topics

From keywords
Life Sciences
Inferred from text
Crop and pasture production 68% · Image 65%
Provenance · 1 source records, 11 field assertions
SourceKeyLast seenRaw
International Potato Centerdoi:10.21223/DOWPZH13 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:3004enrichment · data cipotato orgtaxonomy-embedding@1.1.0title+keywords+description (68%)
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