Thumbnail Image

EOSTAT Trusted methods for the use of EO data for crop type mapping and crop yield forecasting

Open Meeting of the UN-CEAG (54th Session of the UN Statistical Commission)​







Also available in:
No results found.

Related items

Showing items related by metadata.

  • Thumbnail Image
    Article
    Journal article
    FAO Crop Yield Forecasting Philosophy in National Food Early Warning Systems 1998
    Also available in:
    No results found.

    The paper describes the crop forecasting philosophy adopted by FAO in the ambit of national and regional food security projects in developing countries.
  • Thumbnail Image
    Book (stand-alone)
    Technical book
    Recent Practices and Advances for AMIS Crop Yield Forecasting at Farm and Parcel Level: A Review 2017
    Also available in:
    No results found.

    In most countries, although the proportion of national GDP constituted by the agricultural sector has been declining for decades, the forecasting of food production remains a major challenge for all the economic actors of modern societies. At all levels – government, industry, farm, household – decisions must be taken on the basis of advanced knowledge of the potential influence of economic, biotic and abiotic factors upon crop yields of the major food commodities, especially the four major crop s constituting the priorities of the Agricultural Market Information System (AMIS). The vital character of food commodities, coupled with the limited stocks, largely explains the price volatility observed and the erratic behavior of economic agents in light of the lack of information. In reaction to these phenomena, at the 2011 G20 summit, the ministers of agriculture decided to launch AMIS, an inter-agency platform tasked with enhancing food market transparency and encouraging the coordination of policy action in response to market uncertainty. At the same time, the private sector started to become active. The Bill & Melinda Gates Foundation invested in the monitoring of agricultural production, by introducing a change in data collection and analyses methods (Global Strategy for improving Agricultural and Rural Statistics) and by supporting technical advances in modelling (the NEXTGEN project) and the use of new technologies (the Spurring a Transformation for Agriculture through Remo te Sensing project, or STARS3). The food industry also began to model food production, aiming to make a joint academic, administration and industry effort for the purpose of Assessing Sustainable Nutrition Security.
  • Thumbnail Image
    Document
    Other document
    An Introduction to the Art of Agrometereological Crop Yield Forecasting Using Multiple Regression
    Crop Yeald Forecasting and Agrometeorology Sub-Project UTF/BGD/029, ASIRP/DAE
    2001
    Also available in:
    No results found.

    It is suggested that the approach used by FAO and a number of developing countries for crop forecasting at the national level strikes a good compromise between input requirements and ease of validation. The article thus describes the FAO crop modelling and forecasting philosophy.

Users also downloaded

Showing related downloaded files

  • Thumbnail Image
    Booklet
    Corporate general interest
    Emissions due to agriculture
    Global, regional and country trends 2000–2018
    2021
    Also available in:
    No results found.

    The FAOSTAT emissions database is composed of several data domains covering the categories of the IPCC Agriculture, Forestry and Other Land Use (AFOLU) sector of the national GHG inventory. Energy use in agriculture is additionally included as relevant to emissions from agriculture as an economic production sector under the ISIC A statistical classification, though recognizing that, in terms of IPCC, they are instead part of the Energy sector of the national GHG inventory. FAO emissions estimates are available over the period 1961–2018 for agriculture production processes from crop and livestock activities. Land use emissions and removals are generally available only for the period 1990–2019. This analytical brief focuses on overall trends over the period 2000–2018.
  • Thumbnail Image
    Presentation
    Presentation
    How to use earth observation data for the production of official agricultural statistics and SDG indicators
    Joint webinar with the UN Data Strategy (7 March 2023)
    2023
    Also available in:
    No results found.

  • Thumbnail Image
    Book (series)
    Flagship
    The State of Food Security and Nutrition in the World 2021
    Transforming food systems for food security, improved nutrition and affordable healthy diets for all
    2021
    In recent years, several major drivers have put the world off track to ending world hunger and malnutrition in all its forms by 2030. The challenges have grown with the COVID-19 pandemic and related containment measures. This report presents the first global assessment of food insecurity and malnutrition for 2020 and offers some indication of what hunger might look like by 2030 in a scenario further complicated by the enduring effects of the COVID-19 pandemic. It also includes new estimates of the cost and affordability of healthy diets, which provide an important link between the food security and nutrition indicators and the analysis of their trends. Altogether, the report highlights the need for a deeper reflection on how to better address the global food security and nutrition situation.To understand how hunger and malnutrition have reached these critical levels, this report draws on the analyses of the past four editions, which have produced a vast, evidence-based body of knowledge of the major drivers behind the recent changes in food security and nutrition. These drivers, which are increasing in frequency and intensity, include conflicts, climate variability and extremes, and economic slowdowns and downturns – all exacerbated by the underlying causes of poverty and very high and persistent levels of inequality. In addition, millions of people around the world suffer from food insecurity and different forms of malnutrition because they cannot afford the cost of healthy diets. From a synthesized understanding of this knowledge, updates and additional analyses are generated to create a holistic view of the combined effects of these drivers, both on each other and on food systems, and how they negatively affect food security and nutrition around the world.In turn, the evidence informs an in-depth look at how to move from silo solutions to integrated food systems solutions. In this regard, the report proposes transformative pathways that specifically address the challenges posed by the major drivers, also highlighting the types of policy and investment portfolios required to transform food systems for food security, improved nutrition, and affordable healthy diets for all. The report observes that, while the pandemic has caused major setbacks, there is much to be learned from the vulnerabilities and inequalities it has laid bare. If taken to heart, these new insights and wisdom can help get the world back on track towards the goal of ending hunger, food insecurity, and malnutrition in all its forms.