A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis

Bibliographic Details
Main Authors: Pardo, JM, Jimenez, J, Rodríguez, R., Leiva, A.M, Cuéllar, Wilmer Jose
Format: Ponencia
Language:Inglés
Published: 2023
Subjects:
Online Access:https://hdl.handle.net/10568/131612
_version_ 1855522244626743296
author Pardo, JM
Jimenez, J
Rodríguez, R.
Leiva, A.M
Cuéllar, Wilmer Jose
author_browse Cuéllar, Wilmer Jose
Jimenez, J
Leiva, A.M
Pardo, JM
Rodríguez, R.
author_facet Pardo, JM
Jimenez, J
Rodríguez, R.
Leiva, A.M
Cuéllar, Wilmer Jose
author_sort Pardo, JM
collection Repository of Agricultural Research Outputs (CGSpace)
format Ponencia
id CGSpace131612
institution CGIAR Consortium
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
record_format dspace
spelling CGSpace1316122025-11-05T11:27:11Z A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis Pardo, JM Jimenez, J Rodríguez, R. Leiva, A.M Cuéllar, Wilmer Jose bacterial diseases technology adoption disease surveillance insect diseases african cassava mosaic virus 2023-06 2023-08-22T09:23:58Z 2023-08-22T09:23:58Z Presentation https://hdl.handle.net/10568/131612 en Open Access application/pdf Pardo, J.; Jimenez, J.; Rodriguez, R.; Leiva, A.M.; Cuellar, W. (2023) A protocol for measuring cassava bacterial blight disease progression, using machine -learning image analysis. Cassava Program, Palmira, 20 June 2023.13 sl.
spellingShingle bacterial diseases
technology adoption
disease surveillance
insect diseases
african cassava mosaic virus
Pardo, JM
Jimenez, J
Rodríguez, R.
Leiva, A.M
Cuéllar, Wilmer Jose
A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis
title A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis
title_full A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis
title_fullStr A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis
title_full_unstemmed A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis
title_short A protocol for measuring cassava bacterial blight disease progression, using machine-learning image analysis
title_sort protocol for measuring cassava bacterial blight disease progression using machine learning image analysis
topic bacterial diseases
technology adoption
disease surveillance
insect diseases
african cassava mosaic virus
url https://hdl.handle.net/10568/131612
work_keys_str_mv AT pardojm aprotocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT jimenezj aprotocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT rodriguezr aprotocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT leivaam aprotocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT cuellarwilmerjose aprotocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT pardojm protocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT jimenezj protocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT rodriguezr protocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT leivaam protocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis
AT cuellarwilmerjose protocolformeasuringcassavabacterialblightdiseaseprogressionusingmachinelearningimageanalysis