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Book (stand-alone)Regional Overview of Food Insecurity Asia and the Pacific 2016
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No results found.The year 2015 marked the end of the global Millennium Development agenda and 2016 heralds a transition to the new 2030 agenda for Sustainable Development. Asia-Pacific Region not only met the MDG target of halving the proportion of people suffering from hunger, but was also the region with the largest reduction in the number of undernourished people in the world. Despite good progress being made by many countries in tackling malnutrition, the overall rate of progress is less than desired and the re are several countries and sub-regions where the prevalence rates are still very high. The analysis presented in this report will help encourage dialogue and shape a new public narrative towards eradicating hunger and malnutrition and creating a transformative change for sustainable development.Most governments are taking concrete actions to address the problem and there is a clear recognition of strengthening agriculture and food systems in a manner that brings more affordable, hea lthier and diverse food options within everyone’s reach.
This report also introduces a special section which will focus on a different selected key issue or trend affecting food security and nutrition in the region each year. This year, the focus is on the importance of milk and smallholder dairy in view of the remarkable growth in the production and consumption of milk and milk products in the region. The section concludes that the promotion of milk consumption and small-scale dairying offe rs potential for triple wins in nutrition, rural livelihoods and the environment.See the other Regional Overviews:
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Book (stand-alone)Yemen – Shocks, agricultural livelihoods and food security
Monitoring report, December 2021
2021Also available in:
No results found.This report shares an analysis of the effects of natural and man-made shocks in Yemen’s agri-food system. It analyses the results of a field assessment conducted from November 2020 to February 2021 . The Food and Agriculture Organization of the United Nations (FAO) is implementing a project to contribute to data collection and analysis linked to shocks affecting agricultural livelihoods and food security, in order to inform evidence-based programming in selected countries. The objective is to assess the effects of these shocks on the agri-food system, which includes crops, livestock and fishing, food supply, livelihoods and food security of rural populations. Information is collected from primary sources of the production process: producer households, traders or marketers, inputs suppliers, extension officers and other key informants. This report covers the second round of data collected through the FAO monitoring system in Yemen. A first round was collected earlier in 2020, followed by an initial report published in March 2021. The report was made possible by the support of the American People through the United States Agency for International Development (USAID). The contents of this report are the sole responsibility of FAO and do not necessarily reflect the views of USAID or the United States of America Government. -
BookletExploring the application of Artificial Intelligence for triggering drought anticipatory action: A Timor-Leste case study
Technical Working paper
2024Also available in:
No results found.This research describes the process of developing an agricultural drought-triggering methodology for anticipatory action (AA) within the context of Timor-Leste, an Indo-Pacific nation grappling with limited observation data. Drought is a severe and recurring natural hazard in Timor-Leste, significantly impacting livelihoods and exacerbating food insecurity due to the compounding effects of the climate crisis. This study provides a comprehensive understanding of the methodology’s development, highlighting the collaborative establishment of an AA protocol with the government and the humanitarian community, spearheaded by the Food and Agriculture Organization of the United Nations and the Government of Timor-Leste. Overall, this study aims to facilitate a transition towards a preemptive approach for disaster risk management and highlight the advances of the introduction of Artificial Intelligence (AI) moving forward.
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