Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses

This dataset comprises 8,647 images including Urochloa spp. and Megathyrsus maximus experimental units. The dataset is a resource for validating the current plant damage quantification technique for repeatability, and for training machine learning algorithms to identify, classify or quantify plant d...

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Main Authors: Espitia Buitrago, Paula Andrea, Ruiz-Hurtado, Andres Felipe, Hernández, Luis Miguel, Jauregui, Rosa Noemi, Cardoso Arango, Juan Andres
Format: Conjunto de datos
Language:Inglés
Published: 2024
Subjects:
Online Access:https://hdl.handle.net/10568/148730
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author Espitia Buitrago, Paula Andrea
Ruiz-Hurtado, Andres Felipe
Hernández, Luis Miguel
Jauregui, Rosa Noemi
Cardoso Arango, Juan Andres
author_browse Cardoso Arango, Juan Andres
Espitia Buitrago, Paula Andrea
Hernández, Luis Miguel
Jauregui, Rosa Noemi
Ruiz-Hurtado, Andres Felipe
author_facet Espitia Buitrago, Paula Andrea
Ruiz-Hurtado, Andres Felipe
Hernández, Luis Miguel
Jauregui, Rosa Noemi
Cardoso Arango, Juan Andres
author_sort Espitia Buitrago, Paula Andrea
collection Repository of Agricultural Research Outputs (CGSpace)
description This dataset comprises 8,647 images including Urochloa spp. and Megathyrsus maximus experimental units. The dataset is a resource for validating the current plant damage quantification technique for repeatability, and for training machine learning algorithms to identify, classify or quantify plant damage caused by biotic and abiotic stress with similar symptoms. Metodology:These data were obtained from the assessment of 8 populations of the Urochloa breeding programs and Megathyrsus maximus in 15 no-choice tests. Each test had a row and column number to analyze the statistical data as a spatial design. The images were acquired prior to the infestation, and 35 days after the infestation for nymphs and prior to the infestation, 7 days after the infestation and 14 days after the infestations for adults. Each experimental unit was placed in a white, enclosed chamber (dimensions: 1x1x1 m), with a strip of LED day white lights (6000 k) for consistent illumination. Images were captured using a Canon 90D and a NIKON D7500 reflex cameras with the following set up: manual mode, focus mode AF-A single point, white balance set to 0.0 in the fluorescent mode, ISO speed set to 100, shutter speed set to 1/50s, and aperture set to 5.6. The images included in the dataset are in JPEG format, the metadata for each image was compiled in a table after assessing the resistance to damage through visual and image-processing based methods. The files were organized in a folder-based image classification format (sometimes known as ImageNet) compatible with the one required by computer vision classification models.
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institution CGIAR Consortium
language Inglés
publishDate 2024
publishDateRange 2024
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spelling CGSpace1487302024-10-31T13:17:31Z Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses Espitia Buitrago, Paula Andrea Ruiz-Hurtado, Andres Felipe Hernández, Luis Miguel Jauregui, Rosa Noemi Cardoso Arango, Juan Andres machine learning host plant resistance infestation imagery brachiaria panicum This dataset comprises 8,647 images including Urochloa spp. and Megathyrsus maximus experimental units. The dataset is a resource for validating the current plant damage quantification technique for repeatability, and for training machine learning algorithms to identify, classify or quantify plant damage caused by biotic and abiotic stress with similar symptoms. Metodology:These data were obtained from the assessment of 8 populations of the Urochloa breeding programs and Megathyrsus maximus in 15 no-choice tests. Each test had a row and column number to analyze the statistical data as a spatial design. The images were acquired prior to the infestation, and 35 days after the infestation for nymphs and prior to the infestation, 7 days after the infestation and 14 days after the infestations for adults. Each experimental unit was placed in a white, enclosed chamber (dimensions: 1x1x1 m), with a strip of LED day white lights (6000 k) for consistent illumination. Images were captured using a Canon 90D and a NIKON D7500 reflex cameras with the following set up: manual mode, focus mode AF-A single point, white balance set to 0.0 in the fluorescent mode, ISO speed set to 100, shutter speed set to 1/50s, and aperture set to 5.6. The images included in the dataset are in JPEG format, the metadata for each image was compiled in a table after assessing the resistance to damage through visual and image-processing based methods. The files were organized in a folder-based image classification format (sometimes known as ImageNet) compatible with the one required by computer vision classification models. 2024-06 2024-06-26T13:21:21Z 2024-06-26T13:21:21Z Dataset https://hdl.handle.net/10568/148730 en Open Access Espitia Buitrago, P.A.; Ruiz Hurtado, A.F.; Hernandez Mahecha, L.M.; Jauregui, R.N.; Cardoso Arango, J.A. (2024) Dataset: Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses. https://doi.org/10.7910/DVN/EGUVHA
spellingShingle machine learning
host plant resistance
infestation
imagery
brachiaria
panicum
Espitia Buitrago, Paula Andrea
Ruiz-Hurtado, Andres Felipe
Hernández, Luis Miguel
Jauregui, Rosa Noemi
Cardoso Arango, Juan Andres
Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses
title Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses
title_full Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses
title_fullStr Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses
title_full_unstemmed Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses
title_short Tolerance to spittlebugs (Hemiptera: Cercopidae) in Urochloa spp. and Megathyrsus maximus grasses
title_sort tolerance to spittlebugs hemiptera cercopidae in urochloa spp and megathyrsus maximus grasses
topic machine learning
host plant resistance
infestation
imagery
brachiaria
panicum
url https://hdl.handle.net/10568/148730
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