Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis

The SSMIS prototype dashboard is under development by employing a combination of three integrated approaches: advanced geospatial analysis and remote sensing, citizen science, and machine learning approaches. The system will be able to provide timely, accurate and a readily available database on sma...

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Autor principal: CGIAR Research Program on Climate Change, Agriculture and Food Security
Formato: Informe técnico
Lenguaje:Inglés
Publicado: 2020
Materias:
Acceso en línea:https://hdl.handle.net/10568/123080
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author CGIAR Research Program on Climate Change, Agriculture and Food Security
author_browse CGIAR Research Program on Climate Change, Agriculture and Food Security
author_facet CGIAR Research Program on Climate Change, Agriculture and Food Security
author_sort CGIAR Research Program on Climate Change, Agriculture and Food Security
collection Repository of Agricultural Research Outputs (CGSpace)
description The SSMIS prototype dashboard is under development by employing a combination of three integrated approaches: advanced geospatial analysis and remote sensing, citizen science, and machine learning approaches. The system will be able to provide timely, accurate and a readily available database on small-scale irrigation schemes, to be ready by 2021.
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spelling CGSpace1230802023-03-14T11:55:27Z Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis CGIAR Research Program on Climate Change, Agriculture and Food Security irrigation management storage remote sensing development data collection irrigation rural development management data analysis information systems irrigation schemes data analysis learning information systems agrifood systems machine learning sciences approaches citizen science scale collection The SSMIS prototype dashboard is under development by employing a combination of three integrated approaches: advanced geospatial analysis and remote sensing, citizen science, and machine learning approaches. The system will be able to provide timely, accurate and a readily available database on small-scale irrigation schemes, to be ready by 2021. 2020-12-31 2022-10-06T14:20:16Z 2022-10-06T14:20:16Z Report https://hdl.handle.net/10568/123080 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security. 2020. Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis. Reported in Climate Change, Agriculture and Food Security Annual Report 2020. Innovations.
spellingShingle irrigation management
storage
remote sensing
development
data collection
irrigation
rural development
management
data
analysis
information systems
irrigation schemes
data analysis
learning
information
systems
agrifood systems
machine learning
sciences
approaches
citizen science
scale
collection
CGIAR Research Program on Climate Change, Agriculture and Food Security
Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis
title Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis
title_full Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis
title_fullStr Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis
title_full_unstemmed Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis
title_short Development of web-based Small-Scale Irrigation Management Information System (SSIMIS) to facilitate data collection, storage, management, and analysis
title_sort development of web based small scale irrigation management information system ssimis to facilitate data collection storage management and analysis
topic irrigation management
storage
remote sensing
development
data collection
irrigation
rural development
management
data
analysis
information systems
irrigation schemes
data analysis
learning
information
systems
agrifood systems
machine learning
sciences
approaches
citizen science
scale
collection
url https://hdl.handle.net/10568/123080
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