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Book (stand-alone)Technical book粮食和农业水生遗传资源保护、可持续利用和开发全球行动计划 2022本《粮食和农业水生遗传资源保护、可持续利用和开发全球行动计划》（GPA）是粮农组织应粮食和农业遗传资源委员会成员的要求制定的，以应对粮食和农业水生遗传资源（AqGR）状况第一次全球评估中确定的需求和挑战。该协议是在与各区域广泛协商后制定的，经委员会认可后，由粮农组织成员在粮农组织理事会第168届会议上正式通过。《全球行动计划》是自愿的，不具约束力，旨在促进对AqGR的有效管理，确保其对粮食安全和可持续发展以及减轻贫困做出重大贡献，其目标是水产养殖的所有利益相关者，重点是资源管理者和政策制定者。《全球行动计划》有两部分，第一部分介绍并确定了AqGR对可持续水产养殖和未来粮食安全的背景和重要性，。第二部分确定战略优先事项，并建议在四个优先领域的行动：i) 特性、清单和监测；ii) 保护和可持续利用；iii) 发展水产养殖的AqGR；以及iv) 政策、机构、能力建设和合作。
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No Thumbnail AvailableMeetingMeeting documentThe World Summit on Sustainable Development 2002 and its implications for Fisheries
<i>Meeting document COFI/2003/Inf.14</i>
2003
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Book (series)FlagshipThe State of Food and Agriculture 2019
Moving forward on food loss and waste reduction
2019The need to reduce food loss and waste is firmly embedded in the 2030 Agenda for Sustainable Development. Food loss and waste reduction is considered important for improving food security and nutrition, promoting environmental sustainability and lowering production costs. However, efforts to reduce food loss and waste will only be effective if informed by a solid understanding of the problem. This report provides new estimates of the percentage of the world’s food lost from production up to the retail level. The report also finds a vast diversity in existing estimates of losses, even for the same commodities and for the same stages in the supply chain. Clearly identifying and understanding critical loss points in specific supply chains – where considerable potential exists for reducing food losses – is crucial to deciding on appropriate measures. The report provides some guiding principles for interventions based on the objectives being pursued through food loss and waste reductions, be they in improved economic efficiency, food security and nutrition, or environmental sustainability. -
Book (series)Technical studyThe impact of climate variability and extremes on agriculture and food security - An analysis of the evidence and case studies
Background paper for The State of Food Security and Nutrition in the World 2018
2020Also available in:
No results found.Global climate studies show that not only temperatures are increasing and precipitation levels are becoming more varied, all projections indicate these trends will continue. It is therefore imperative that we understand changes in climate over agricultural areas and their impacts on agriculture production and food security. This study presents new analysis on the impact of changing climate on agriculture and food security, by examining the evidence on recent climate variability and extremes over agricultural areas and the impact of these on agriculture and food security. It shows that more countries are exposed to increasing climate variability and extremes and the frequency (the number of years exposed in a five-year period) and intensity (the number of types of climate extremes in a five-year period) of exposure over agricultural areas have increased. The findings of this study are compelling and bring urgency to the fact that climate variability and extremes are proliferating and intensifying and are contributing to a rise in global hunger. The world’s 2.5 billion small-scale farmers, herders, fishers, and forest-dependent people, who derive their food and income from renewable natural resources, are most at risk and affected. Actions to strengthen the resilience of livelihoods and food systems to climate variability and extremes urgently need to be scaled up and accelerated. -
Book (stand-alone)Technical bookDigital agriculture in action
ArtificiaI intelligence for agriculture
2021Also available in:
No results found.This publication on artificial intelligence (AI) for agriculture is the fifth in the E-agriculture in Action series, launched in 2016 and jointly produced by FAO and ITU. It aims to raise awareness about existing AI applications in agriculture and to inspire stakeholders to develop and replicate the new ones. Improvement of capacity and tools for capturing and processing data and substantial advances in the field of machine learning open new horizons for data-driven solutions that can support decision-making, facilitate supervision and monitoring, improve the timeliness and effectiveness of safety measures (e.g. use of pesticides), and support automation of many resource-consuming tasks in agriculture. This publication presents the reader with a collection of informative applications highlighting various ways AI is used in agriculture and offering valuable insights on the implementation process, success factors, and lessons learnt.