Global Agro-Ecological Zoning version 4 (GAEZ v4)

Launch and training of PyAEZ v 2.0.0 – An innovative free and open-source application for land evaluation

GAEZ
14/11/2022

The Food and Agriculture Organization of the United Nations (FAO) with the Asian Institute of Technology (AIT), and in collaboration with the International Institute for Applied Systems Analysis (IIASA) will launch the updated version of the PyAEZ Python package (PyAEZ v2.0.0) during a virtual event on 28 November.

PyAEZ is a Python package equipped with computational routines related to the Agro-ecological Zoning (AEZ) framework. The package encapsulates the complex calculations in AEZ and tries to provide a user-friendly and intuitive way to input data and generate national AEZ information. PyAEZ provides a transparent set of procedures for land resources appraisal adhering to the established FAO Land Evaluation Framework.
The PyAEZ package is of particular interest to national and international organizations dealing with different aspects of agriculture production and sustainability, land and water resources, food security, agricultural development, or climate variability and climate change. National and sub-national applications of PyAEZ may provide important information to support land use planning and can assess alternative cropping options to enhance the utilization of land resources.

The launch will be followed by a four-day virtual training (from 29 November to 02 December) with the objective to introduce the updated version of PyAEZ tool (PyAEZ v2.0.0) to professionals with the purpose of supporting policy and planning exercises related to land-use planning and management. During the training, an overview of AEZ methodology for crop suitability assessment, including theoretical aspects as well as previous case studies, and ongoing PyAEZ routines development will be covered.

Click here to register to the launch.

Click here to register to the training.

More on this topic

Find out more on PyAEZ: https://gaez.fao.org/pages/pyaez

PyAEZ Repository: https://github.com/gicait/PyAEZ