Agroclimatic monitoring system at Alliance’s experimental campus
cg.authorship.types | CGIAR single centre | en |
cg.contributor.affiliation | International Center for Tropical Agriculture | en |
cg.contributor.donor | Alliance Bioversity - CIAT | en |
cg.contributor.initiative | Climate Resilience | |
cg.contributor.initiative | Digital Innovation | |
cg.coverage.country | Colombia | |
cg.coverage.iso3166-alpha2 | CO | |
cg.coverage.region | Americas | |
cg.coverage.region | South America | |
cg.coverage.region | Latin America and the Caribbean | |
cg.creator.identifier | Camilo Barrios-Perez: 0000-0001-8332-8746 | en |
cg.creator.identifier | Daniela Gomez: 0000-0002-1481-0026 | en |
cg.subject.actionArea | Resilient Agrifood Systems | |
cg.subject.alliancebiovciat | AGRICULTURE | en |
cg.subject.alliancebiovciat | CLIMATE CHANGE ADAPTATION | en |
cg.subject.alliancebiovciat | MODELING | en |
cg.subject.impactArea | Climate adaptation and mitigation | |
cg.subject.sdg | SDG 13 - Climate action | en |
dc.contributor.author | Barrios, Camilo | en |
dc.contributor.author | Amaya, Alejandra | en |
dc.contributor.author | Arce, Daniela | en |
dc.contributor.author | Urdinola, Jaime | en |
dc.date.accessioned | 2025-06-04T12:59:41Z | |
dc.date.available | 2025-06-04T12:59:41Z | |
dc.identifier.uri | https://hdl.handle.net/10568/174965 | |
dc.title | Agroclimatic monitoring system at Alliance’s experimental campus | en |
dcterms.abstract | At the Alliance’s experimental campus, extreme climate conditions such as droughts, heavy rainfall, and high temperatures can significantly affect both the management and the growth and development of crops. In this context of increasing climate variability, it is essential to have accessible and easy-to-use digital tools that support technical decision-making in the field. These digital tools allow for more efficient planning and management of resources available to farmers. Satellite imagery is leveraged to enable regular monitoring of agroclimatic conditions and crop status without needing to be physically present in the fields. Specifically, high-resolution multispectral images, such as those provided by PlanetScope satellites, help detect water excesses or shortages in a timely manner and assess the health, growth, and development of vegetation. This not only optimizes agricultural management but also promotes more sustainable and resilient production in the face of climate change. | en |
dcterms.accessRights | Open Access | |
dcterms.bibliographicCitation | Barrios, C.; Amaya, A.; Arce, D.; Urdinola, J. (2025) Agroclimatic monitoring system at Alliance’s experimental campus. 2 p. | en |
dcterms.extent | 2 p. | en |
dcterms.issued | 2025-05-23 | en |
dcterms.language | en | |
dcterms.license | CC-BY-4.0 | |
dcterms.subject | digital agriculture | en |
dcterms.subject | decision making | en |
dcterms.subject | decision support | en |
dcterms.subject | spatial data-geospatial data | en |
dcterms.subject | spatial analysis | en |
dcterms.subject | monitoring | en |
dcterms.subject | agroclimatology | en |
dcterms.subject | satellite imagery | en |
dcterms.subject | vegetation index | en |
dcterms.type | Infographic |
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