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From space to soil: Advancing crop mapping and ecosystem insights for smallholder agriculture
| Content Provider | Consultative Group on International Agricultural Research (CGIAR) |
|---|---|
| Author | Guo, Zhe |
| Organization | IFPRI - Natural Resources and Resilience Unit |
| Spatial Coverage | Kenya [KE] |
| Description | This project centers on in-season crop type mapping in Nandi County, Kenya, utilizing time-series Sentinel-2 imagery and supervised machine learning techniques. The objective is to produce accurate crop-type maps to support agricultural management activities such as yield estimation, acreage statistics, disaster damage assessment, and ecosystem evaluation. The approach leverages cloud-based computing, offering a customized and flexible solution that requires no prior knowledge of cloud infrastructure. |
| Sponsorship | CGIAR Trust Fund |
| Related Links | https://cgspace.cgiar.org/server/api/core/bitstreams/b4b226d9-ebdf-466c-842f-25606ecb8190/content |
| File Format | |
| Language | English |
| Publisher | CGIAR System Organization |
| Publisher Place | Washington, DC |
| Access Restriction | Open |
| Subject Keyword | Crops Cartography Smallholders Agriculture Satellite Imagery Data Ecosystem Management |
| Content Type | Text |
| Resource Type | Report |
| Subject | Agronomy and Crop Science Food Science Plant Science |