AGDATABOX-RS computational application: Remote sensing data management
Remote sensing can help evolution of agricultural practices by providing periodic information about the status of a given crop over the harvest season, at different scales, and for different segments. Applications in precision agriculture use remote sensing practices based on multispectral images to...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-07-01
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| Series: | SoftwareX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2352711023001310 |
| _version_ | 1797679419474575360 |
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| author | Giuvane Conti Erivelto Mercante Eduardo Godoy de Souza Ricardo Sobjak Claudio Leones Bazzi |
| author_facet | Giuvane Conti Erivelto Mercante Eduardo Godoy de Souza Ricardo Sobjak Claudio Leones Bazzi |
| author_sort | Giuvane Conti |
| collection | DOAJ |
| description | Remote sensing can help evolution of agricultural practices by providing periodic information about the status of a given crop over the harvest season, at different scales, and for different segments. Applications in precision agriculture use remote sensing practices based on multispectral images to measure plants’ parameters throughout their development cycle. The aim of the current research is to develop a computational module capable of integrating and providing remote sensing data for the AgDataBox precision agriculture platform. The herein developed application enabled the persistence of a new field, the search for raster images generated by orbital satellites, the selection of vegetation indices, as well as the vectorization and insertion of images of interest in the AgDataBox platform. |
| first_indexed | 2024-03-11T23:14:20Z |
| format | Article |
| id | doaj.art-47f6dd95b0224dc9a26278db8ef6dd9c |
| institution | Directory Open Access Journal |
| issn | 2352-7110 |
| language | English |
| last_indexed | 2024-03-11T23:14:20Z |
| publishDate | 2023-07-01 |
| publisher | Elsevier |
| record_format | Article |
| series | SoftwareX |
| spelling | doaj.art-47f6dd95b0224dc9a26278db8ef6dd9c2023-09-21T04:37:24ZengElsevierSoftwareX2352-71102023-07-0123101435AGDATABOX-RS computational application: Remote sensing data managementGiuvane Conti0Erivelto Mercante1Eduardo Godoy de Souza2Ricardo Sobjak3Claudio Leones Bazzi4Federal University of Technology of Paraná (UTFPR), Santa Helena County, Paraná State, Brazil; Corresponding author.Western Paraná State University (UNIOESTE), PGEAGRI, Technological and Exact Sciences Center, Cascavel, Paraná, BrazilWestern Paraná State University (UNIOESTE), PGEAGRI, Technological and Exact Sciences Center, Cascavel, Paraná, BrazilComputer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira County, Paraná State, BrazilComputer Science Department, Federal University of Technology of Paraná (UTFPR), Medianeira County, Paraná State, BrazilRemote sensing can help evolution of agricultural practices by providing periodic information about the status of a given crop over the harvest season, at different scales, and for different segments. Applications in precision agriculture use remote sensing practices based on multispectral images to measure plants’ parameters throughout their development cycle. The aim of the current research is to develop a computational module capable of integrating and providing remote sensing data for the AgDataBox precision agriculture platform. The herein developed application enabled the persistence of a new field, the search for raster images generated by orbital satellites, the selection of vegetation indices, as well as the vectorization and insertion of images of interest in the AgDataBox platform.http://www.sciencedirect.com/science/article/pii/S2352711023001310Precision agricultureVegetation indexWeb platform |
| spellingShingle | Giuvane Conti Erivelto Mercante Eduardo Godoy de Souza Ricardo Sobjak Claudio Leones Bazzi AGDATABOX-RS computational application: Remote sensing data management SoftwareX Precision agriculture Vegetation index Web platform |
| title | AGDATABOX-RS computational application: Remote sensing data management |
| title_full | AGDATABOX-RS computational application: Remote sensing data management |
| title_fullStr | AGDATABOX-RS computational application: Remote sensing data management |
| title_full_unstemmed | AGDATABOX-RS computational application: Remote sensing data management |
| title_short | AGDATABOX-RS computational application: Remote sensing data management |
| title_sort | agdatabox rs computational application remote sensing data management |
| topic | Precision agriculture Vegetation index Web platform |
| url | http://www.sciencedirect.com/science/article/pii/S2352711023001310 |
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