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Data visualizations and dashboards

Statistical Standard Series









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    Document
    Livestock and greenhouse gas emissions: Launch of the GLEAM Dashboard to access updated data
    FAO Science and Innovation Forum. Side Event. 13 October 2022
    2022
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    Booklet
    AquaCropPlotter: The visualization tool for AquaCrop outputs
    User guide
    2024
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    AquaCropPlotter is a tool designed to facilitate the analysis and visualization of data from AquaCrop (version 6 and 7), the crop-water productivity model developed by FAO. AquaCropPlotter provides a simple interface for users to upload and process output data files from AquaCrop simulations to generate meaningful plots and simple statistical analysis. This tool aims to streamline data processing to allow users to gain insight into complex data without requiring computing background.
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    Project
    Transforming Agricultural Oversight in Timor-Leste: Surveys, Rapid Data Response and Campaign Innovations - UTF/TIM/009/TIM 2024
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    The MAF of Timor-Leste launched a transformative initiative to enhance agricultural productivity and planning through the Sustainable Agriculture Productivity Improvement Project (SAPIP). Supported by a USD 21 million grant from the Global Agriculture and Food Security Program (GAFSP), the project aimed to improve smallholder farmers' productivity. Despite significant progress achieved since Timor-Leste's independence, the country continued to face significant human resource capacity constraints and a recognized need for a decentralized approach across all government institutions, including the MAF. The latter, in particular, requires accurate information on its activities and evidence-based analysis of its performance and the outcomes of the programmes it oversees. To address these challenges, the Government of Timor-Leste sought assistance from the Food and Agriculture Organization of the United Nations (FAO) to develop an evidence-based Monitoring and Evaluation (M&E) System as a sub-component of the SAPIP. The system integrated planning, monitoring and reporting, using data-driven tools for decision-making. The project concluded successfully in December 2023, establishing sustainable, evidence-based agricultural management.

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