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Book (stand-alone)HandbookAgro-informatics Platform
How to use the time function
2025Also available in:
No results found.This guide introduces the time function of the FAO Agro-informatics Platform. The time function allows you to explore how data points evolve over a selected period, making it possible to analyse temporal dynamics directly on the map. By enabling or disabling the time dimension, you can either view all available data points at once or focus on specific time intervals to better understand change over time. This feature is particularly useful for datasets that include point-based information – such as agricultural observations, climate-related records, or socioeconomic indicators – where understanding when events occur is as important as where they occur. With the time function, you can trace developments, identify trends, and assess variations across different timeframes. Using this functionality can support monitoring, research, and planning activities. For example, it can help identify seasonal cycles, detect anomalies, or evaluate the impact of interventions over time. The time function thus provides a dynamic and flexible way to connect spatial data with temporal insights, enhancing evidence-based decision-making. -
Book (stand-alone)HandbookAgro-informatics Platform
How to perform land cover analysis
2025Also available in:
No results found.This guide introduces you to the process of performing land-cover analysis using the FAO Agro-informatics Platform. Land-cover analysis allows you to examine how different types of land use and land cover – such as forests, croplands, water bodies, and urban areas – are distributed within a specific geographic area. By visualizing and quantifying these patterns, you can better understand the environmental and agricultural context of a region. Through this guide, you will learn how to add relevant datasets, define areas of interest, and generate visual outputs such as pie charts and tables that summarize the composition of land cover in your selected area. The platform also enables you to download and further explore these results for use in research, planning, and decision-making. Whether your goal is to assess natural resources, support sustainable agricultural planning, monitor land-use change, or inform policy, this guide will provide you with a clear framework to get started. It is designed to give you a practical, step-by-step pathway to carry out your first land-cover analysis and explore the insights such analysis can bring. -
Book (stand-alone)HandbookAgro-informatics Platform
How to perform deviations from averages analysis
2025Also available in:
No results found.This guide introduces you to the process of performing deviations from averages analysis on the FAO Agro-informatics Platform. This type of analysis allows you to examine how data in a specific area diverge from long-term averages or baseline values, making it easier to detect anomalies, unusual patterns, or significant changes over time. By using this tool, you can explore whether a region is experiencing conditions above or below expected norms, for example in terms of agricultural production, land cover, or environmental indicators. Such insights are essential for identifying risks, assessing resilience, and supporting timely responses in areas affected by climate variability, resource stress, or policy shifts. Through this guide, you will learn how to add datasets, define or upload your area of interest, and generate charts that highlight deviations from average conditions. The results can be customized, visualized, and downloaded, providing a practical framework for research, monitoring, and decision-making. Whether your objective is to monitor agricultural stability, detect early signs of stress, or evaluate long-term changes against historical baselines, deviations from averages analysis offers a valuable perspective to support data-driven strategies.
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Book (stand-alone)Corporate general interestFAO: Challenges and Opportunities in a Global World 2019This illustrated volume identifies the challenges and opportunities facing food and agriculture in the context of the 2030 Agenda, presents solutions for a more sustainable world and shows how FAO has been working in recent years to support its Member Nations in achieving the Sustainable Development Goals.
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ProjectFactsheetSupport to the Regional Collaboration Platform of the Water Scarcity Initiative to Increase Water Productivity - TCP/RAB/3602 2020
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No results found.The Near East and North Africa (NENA) region is among the areas worst affected by chronic water shortages and, in coming decades, is likely to be faced by the most severe intensification of water scarcity in history. Per capita fresh water availability has decreased by two-thirds over the last forty years and is forecast to decrease by a further 50 percent by 2050. Demographic growth, a tendency to increase food self-sufficiency to reduce vulnerability to imports, price volatility, expanding urbanization, energy demands and overall socio-economic development, exacerbated by the negative impact of climate change and the degradation of water quality, are the main causes behind this intensification of scarcity. Agriculture, which consumes over 85 percent of available fresh water resources in the region, will most likely have to absorb the bulk of this shock, with major consequences for food security and the rural economy. Countries in the region thus need to plan their water resources allocation strategically and to review their water policies to ensure that the best use is made of the water available. To this end, it is essential to quantify the productivity of water use in agriculture. In response to the growing needs of member countries and to help them cope with this enormous challenge, FAO and partners launched in 2013 the Regional Water Scarcity Initiative in the Near East and North Africa. The first output of the Initiative was a Regional Collaborative Strategy (RCS) on Sustainable Agricultural Water Management. This represents a framework to assist countries -
Book (stand-alone)Strategy / action plan / roadmapNational e-agriculture strategy
Digital transformation in agriculture 4.0 2021–2025
2025Also available in:
No results found.The main purpose of this e-agriculture strategy publication is to support agriculture and rural development by increasing access to valuable information that will help people whose livelihoods depend on agriculture make the best possible decisions and use available resources in the most efficient and sustainable way. This publication is based on evaluations made by FAO regarding e-agriculture and the e-learning content handled within the scope of the strategy. The e-Agriculture 4.0 approach evaluated digital literacy, access to broadband internet, the development of information systems, dissemination of mobile systems, the creation of e-commerce environments, data-based models, studies for the use and awareness of smart/precision agricultural technologies, digital monitoring of the value chain, databases that talk to each other and early warning systems.