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MeetingMeeting documentRevised Calendar of FAO Governing Bodies and Other Main Sessions 2007-2008 2007
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MeetingMeeting documentCalendar of FAO Governing Bodies and Other Main Sessions 2007-2008 2006
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MeetingMeeting documentCL 135/LIM/2 - CALENDAR OF FAO GOVERNING BODIES AND OTHER MAIN SESSIONS 2008-2009 2009
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Book (stand-alone)Technical bookSustainable Land Management in Practice
Guidelines and Best Practices for Sub-Saharan Africa
2011Also available in:
Production of guidelines for best sustainable land management (SLM) technologies and approaches in Sub- Saharan Africa (SSA) has been part of TerrAfrica’s programme during 2009-2010. These guidelines and case studies are intended to help create a framework for investment related to SLM in SSA. The particular aim of these guidelines is to identify, analyse, discuss and disseminate promising SLM practices - including both technologies and approaches - in the light of the latest trends and new oppo rtunities. The focus is, in particular, on those practices with rapid payback and profitability and / or other factors that drive adoption. This document is targeted at key stakeholders in SLM programmes and projects at the design and implementation stages, including practitioners, managers, policymakers, planners, together with, financial and technical institutions, and donors. The guidelines are divided into two main parts. Part 1 highlights the main principles behind SLM, and what consider ations are important for technologies and approaches to qualify as ‘best practices’ suitable for upscaling. Part 2 presents twelve groups of SLM technologies as well as a section on SLM approaches. These are supported by specific case studies. Key resource persons and experts on SLM in SSA were asked to assist in finalising the SLM gr oups and to describe specific case studies. This strives to be a ‘state of the art’ product. -
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. -
Book (series)High-profileOECD-FAO Agricultural Outlook 2023-2032 2023The Agricultural Outlook 2023-2032 is a collaborative effort of the Organisation for Economic Co-operation and Development (OECD) and the Food and Agriculture Organization of the United Nations (FAO). It brings together the commodity, policy and country expertise of both organisations as well as input from collaborating member countries to provide an annual assessment of the prospects for the coming decade of national, regional and global agricultural commodity markets. The publication consists of 11 Chapters; Chapter 1 covers agricultural and food markets; Chapter 2 provides regional outlooks and the remaining chapters are dedicated to individual commodities.