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Agro-Informatics: Actionable data for farmers and decision makers

FAO Science and innovation Forum, 17-21 October 2022: Side event, 14 October 2022











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    2024 was marked by more progress and achievements to celebrate together, as efforts were focused on powering digitalization and enhancing digital capabilities for FAO programme deliveryand beyond. Today more than ever, FAO emphasizes the importance of fostering a strong digital mindset within the Organization and improving the utilization of the FAO digital workplace to always pave the way towards more modernity, efficiency and effectiveness for all. Furthermore, the Organization aims to maximize the impact of digitalization at both local and organizational levels, ensuring efficient programme formulation and delivery, illustrating with concrete examples worldwide the transformative power of digital technologies. This common digital journey drives transformation at scale, for all, with renewed energy, leaving no one behind.
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    This guide explains how to display and analyse an ESRI shapefile on the FAO Agro-informatics Platform. Shapefiles are widely used in geographic information systems (GIS) to represent boundaries, regions, or other spatial features. By uploading a shapefile, you can bring your own geographic data into the platform and combine it with existing datasets for tailored analysis. Once displayed, your shapefile can be used to explore land cover, agricultural resources, or other thematic datasets available on the platform. This functionality allows you to visualize custom administrative units, project areas, or research zones, and to perform analysis – such as land-cover composition or statistical summaries – directly within your chosen boundaries. Using shapefiles in this way is particularly valuable for researchers, policymakers, and practitioners who need to analyse data for non-standard geographic areas, compare regions not included in default datasets, or integrate local knowledge into larger geospatial studies. It supports more precise, localized insights that can inform decision-making, monitoring, and planning.
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    This guide introduces you to the process of performing time-series analysis on the FAO Agro-informatics Platform. Time-series analysis allows you to track how data evolve over time within a defined area, helping you identify patterns, trends, and changes that may not be visible in a single snapshot. By comparing data across different years or periods, you can gain valuable insights into long-term developments and their implications for agriculture, land use, and natural resources. With this guide, you will learn how to add datasets, select areas of interest, and generate time-series charts that display variations in key indicators over time. The platform also enables you to compare multiple areas, view data in tabular format, and sort results to better understand the dynamics at play. Whether your aim is to monitor land-use changes, evaluate the effectiveness of agricultural policies, assess the impact of climate variability, or support planning for sustainable development, time-series analysis provides a robust framework for evidence-based decision-making. This guide will help you take your first steps in applying these tools effectively on the platform.

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