Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDryad
A dataset of aerial photographs acquired with an Unmanned Aerial Vehicle (UAV) DJI Phantom 4 Pro is presented for monitoring a cherry tomato (Solanum lycopersicum var. cerasiforme) crop in Navolato, Mexico. Seven photogrammetric flights were carried out to assess the plant growth using a Mapir Surve...
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| Language: | English |
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Elsevier
2025-02-01
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| Series: | Data in Brief |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340924012186 |
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| author | Osiris Chávez-Martínez Sergio Alberto Monjardin-Armenta Jesús Gabriel Rangel-Peraza Zuriel Dathan Mora-Felix Antonio Jesus Sanhouse-García |
| author_facet | Osiris Chávez-Martínez Sergio Alberto Monjardin-Armenta Jesús Gabriel Rangel-Peraza Zuriel Dathan Mora-Felix Antonio Jesus Sanhouse-García |
| author_sort | Osiris Chávez-Martínez |
| collection | DOAJ |
| description | A dataset of aerial photographs acquired with an Unmanned Aerial Vehicle (UAV) DJI Phantom 4 Pro is presented for monitoring a cherry tomato (Solanum lycopersicum var. cerasiforme) crop in Navolato, Mexico. Seven photogrammetric flights were carried out to assess the plant growth using a Mapir Survey 3W multispectral camera. Multispectral images with an approximate spatial resolution of 1.83 cm/px were obtained in each photogrammetric flight. These images were acquired every 15 days starting on October 15, 2021, and ending on January 23, 2022. The dataset contains the radiometrically calibrated images of the tomato crop divided into 2 open field parcels. The dataset also includes the processed photogrammetric products (ortho-mosaics) using a binary mask to exclude the soil from the plant area. The dataset was originally acquired to assess plant growth, stress levels, and overall crop health. However, this multispectral imagery dataset can also have various uses, such as creating training datasets with accurate labels or classes which can then be used to develop, train, and/or validate machine learning algorithms for image classification, object detection tasks, or change detection analysis. |
| format | Article |
| id | doaj-art-ea238de466714b0d81cdc6fa6a89710d |
| institution | Kabale University |
| issn | 2352-3409 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Data in Brief |
| spelling | doaj-art-ea238de466714b0d81cdc6fa6a89710d2025-01-31T05:11:42ZengElsevierData in Brief2352-34092025-02-0158111256Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDryadOsiris Chávez-Martínez0Sergio Alberto Monjardin-Armenta1Jesús Gabriel Rangel-Peraza2Zuriel Dathan Mora-Felix3Antonio Jesus Sanhouse-García4Universidad Autónoma de Sinaloa, Facultad de Ciencias de la Tierra y el Espacio. Circuito Interior Oriente SN, Cd Universitaria, 80040 Culiacán, Sinaloa, MexicoUniversidad Autónoma de Sinaloa, Facultad de Ciencias de la Tierra y el Espacio. Circuito Interior Oriente SN, Cd Universitaria, 80040 Culiacán, Sinaloa, Mexico; Laboratorio Nacional CONAHCYT de Tecnologías de la Información Geoespacial para los Sistemas Socioecológicos Resilientes (LaNCTIGeSSR), clave 89. Cerro de Coatepec, Ciudad Universitaria, 50110 Toluca de Lerdo, Mexico; Corresponding author at: Universidad Autónoma de Sinaloa, Facultad de Ciencias de la Tierra y el Espacio. Circuito Interior Oriente SN, Cd Universitaria, 80040 Culiacán, Sinaloa, Mexico.Tecnológico Nacional de México/Instituto Tecnológico de Culiacán, División de Estudios de Posgrado e Investigación, Juan de Dios Batíz 310. Col. Guadalupe, 80220 Culiacán, Sinaloa, MexicoTecnológico Nacional de México/Instituto Tecnológico de Culiacán, División de Estudios de Posgrado e Investigación, Juan de Dios Batíz 310. Col. Guadalupe, 80220 Culiacán, Sinaloa, MexicoTecnológico Nacional de México/Instituto Tecnológico de Culiacán, División de Estudios de Posgrado e Investigación, Juan de Dios Batíz 310. Col. Guadalupe, 80220 Culiacán, Sinaloa, MexicoA dataset of aerial photographs acquired with an Unmanned Aerial Vehicle (UAV) DJI Phantom 4 Pro is presented for monitoring a cherry tomato (Solanum lycopersicum var. cerasiforme) crop in Navolato, Mexico. Seven photogrammetric flights were carried out to assess the plant growth using a Mapir Survey 3W multispectral camera. Multispectral images with an approximate spatial resolution of 1.83 cm/px were obtained in each photogrammetric flight. These images were acquired every 15 days starting on October 15, 2021, and ending on January 23, 2022. The dataset contains the radiometrically calibrated images of the tomato crop divided into 2 open field parcels. The dataset also includes the processed photogrammetric products (ortho-mosaics) using a binary mask to exclude the soil from the plant area. The dataset was originally acquired to assess plant growth, stress levels, and overall crop health. However, this multispectral imagery dataset can also have various uses, such as creating training datasets with accurate labels or classes which can then be used to develop, train, and/or validate machine learning algorithms for image classification, object detection tasks, or change detection analysis.http://www.sciencedirect.com/science/article/pii/S2352340924012186High-resolution multispectral images datasetUAV DJI Phantom 4 ProMapir survey 3W multispectral cameraCherry tomato cropPrecision agriculture |
| spellingShingle | Osiris Chávez-Martínez Sergio Alberto Monjardin-Armenta Jesús Gabriel Rangel-Peraza Zuriel Dathan Mora-Felix Antonio Jesus Sanhouse-García Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDryad Data in Brief High-resolution multispectral images dataset UAV DJI Phantom 4 Pro Mapir survey 3W multispectral camera Cherry tomato crop Precision agriculture |
| title | Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDryad |
| title_full | Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDryad |
| title_fullStr | Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDryad |
| title_full_unstemmed | Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDryad |
| title_short | Dataset of aerial photographs acquired with UAV using a multispectral (green, red and near-infrared) camera for cherry tomato (Solanum lycopersicum var. cerasiforme) monitoringDryad |
| title_sort | dataset of aerial photographs acquired with uav using a multispectral green red and near infrared camera for cherry tomato solanum lycopersicum var cerasiforme monitoringdryad |
| topic | High-resolution multispectral images dataset UAV DJI Phantom 4 Pro Mapir survey 3W multispectral camera Cherry tomato crop Precision agriculture |
| url | http://www.sciencedirect.com/science/article/pii/S2352340924012186 |
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