A Python library for performing Agro-Ecological Zoning (AEZ) analysis based on the Food and Agriculture Organization (FAO) methodology.
PyAEZ
- Python
- Ingeniería civil, Análisis de datos, Ecología y Sostenibilidad
- Agricultura, Clima, Impacto ambiental, Evaluación del impacto ambiental, Alimento, Métricas de sostenibilidad, Desarrollo sostenible, Contaminación del agua
Características:
- Climate data analysis (rainfall,temperature),crop suitability assessment,land evaluation,potential yield estimation,water balance calculation,length of growing period (LGP) calculation,thermal zones classification,soil suitability assessment,integration with raster data (GDAL)
Precios:
- Gratis
- Implements established FAO AEZ methodology, useful for agricultural planning and land resource assessment, open-source, processes gridded climate and soil data.
- Niche application (agro-ecological zoning), requires specific input data (climate,soil,crop parameters), documentation on PyPI is somewhat limited, last release 2021, may require GIS knowledge.
Ideal para:
- Agricultural scientists, environmental planners, and researchers conducting agro-ecological zoning studies for land suitability and agricultural potential assessment.