Agriculture, Food and Nutrition Security: Concept, Datasets and Opportunities for Computational Social Science Applications
Ensuring food and nutritional security requires effective policy actions that consider the multitude of direct and indirect drivers. The limitations of data and tools to unravel complex impact pathways to nutritional outcomes have constrained efficient policy actions in both developed and developing...
| Autores principales: | , , |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | Inglés |
| Publicado: |
Springer
2023
|
| Materias: | |
| Acceso en línea: | https://hdl.handle.net/10568/128378 |
Ejemplares similares: Agriculture, Food and Nutrition Security: Concept, Datasets and Opportunities for Computational Social Science Applications
- Implementing Cloud Computing for the Digital Mapping of Agricultural Soil Properties from High Resolution UAV Multispectral Imagery
- Aquatic macroinvertebrate image dataset
- Ground reference dataset for crop type mapping and monitoring in four districts of Rwanda
- Integrating Earth Observation, Machine Learning and Citizen Science to Map Prosopis juliflora Invasion in Semi-Arid Rangelands of Kenya
- RGB Image Dataset of Urochloa Hybrids for High-Throughput Phenotyping and Artificial Intelligence Applications
- Gap-filling eddy covariance methane fluxes: Comparison of machine learning model predictions and uncertainties at FLUXNET-CH4 wetlands