Ejemplares similares: Smallholder fields crop type mapping based on satellite imagery
- Satellite imagery as an alternative to collect data through surveys
- CIAT-developed machine learning technology identifies agroforestry crops and other land cover types using publicly available (free) satellite imagery.
- A machine learning algorithm for mapping small reservoirs using Sentinel-2 satellite imagery in Google Earth Engine
- Cropping systems mapping through high resolution imagery
- Using Sentinel-1, Sentinel-2, and planet imagery to map crop type of smallholder farms
- High-resolution global map of smallholder and industrial closed-canopy oil palm plantations
Autor: CGIAR Research Program on Wheat
- CGIAR Research Program on Wheat - Plan of Work and Budget 2020
- First nationally representative, large-scale wheat DNA fingerprinting study
- The future of fertilizer policy and -farmer practices in South Asia: Perspectives from Bangladesh, India, Nepal, and Sri Lanka
- Rural transformation and the future of cereal-based agri-food systems
- Freedom to act in Moroccan seed sector improves wheat varietal replacement
- Adoption of improved wheat technologies (varieties) in Central Asia (Tajikistan, Kyrgyzstan, Uzbkekistan)