Many United Nations Entities are leveraging innovative approaches ranging from data, artificial intelligence, drones and the internet of things, to low-carbon technologies, climate smart agriculture and nature-based solutions to help people around the world mitigate and adapt to climate change. This compendium explores these innovative approaches leveraged in the following areas: AIR; ENERGY; FORESTS; LAND; WATER; FOOD SYSTEMS; CITIES & LIFESTYLES; GREEN ECONOMY; DISASTERS & CONFLICTS; CAPACITY STRENGTHENING; ADVOCACY.
Equipping agricultural extension and advisory services with nutrition knowledge, competencies and skills is essential to promote nutrition-sensitive agriculture. This report presents the results of an assessment of capacity within agricultural extension and advisory services, undertaken in Telangana State, India, with the global capacity needs assessment (GCNA) methodology developed by FAO and GFRAS. The methodology is available online at https://doi.org/10.4060/cb2069en
This training manual, which is based on a methodology developed by FAO’s Research and Extension Unit (OINR), presents a training course on assessing AIS consisting of eight modules.
Agrifood system transformation to achieve the Sustainable Development Goals requires increased attention to developing, adapting and diffusing impactful science, technology and innovation (STI). Current levels and patterns of STI uptake are inadequate to facilitate needed agrifood system transformations, especially in today's low- and middle-income countries.
The purpose of this methodological guide is to outline how to conduct an empirical assessment of the current landscape of women’s small-scale fishery (SSF) organizations. Applying this methodology will enhance understanding of where women are organized in SSFs (both geographically and within the value chain); what their present organizational characteristics and capacities are; and their primary needs.
This study draws on social-psychology in an attempt to identify the various motivations for technology adoption (TA), including both economic and non-economic, and to gain insights into how and why Brazilian innovative beef farmers make decisions about whether or not to adopt particular technologies.
This article extends social science research on big data and data platforms through a focus on agriculture, which has received relatively less attention than other sectors like health. In this paper, I use a responsible innovation framework to move attention to the social and ethical dimensions of big data “upstream,” to decision-making in the very selection of agricultural data and the building of its infrastructures.
Climate change is threatening development gains and intensifying global inequities—putting peace and important gains in human well-being at risk.
La publicación “Guía para el fortalecimiento de las capacidades funcionales para la innovación en la agricultura” fue desarollada por la Organización de las Naciones Unidas para la Agricultura y la Alimentación (FAO) y el Instituto Interamericano de Cooperación para la Agricultura (IICA) con el apoyo de la Red Latinoamericana de Servicios de Extensión Rural (RELASER) y la Plataforma de Agricultura Tropical (TAP). El propósito de esta guía es contribuir al desarrollo de las capacidades funcionales entre individuos y organizaciones que apoyan la innovación en América Latina.
Many countries are facing growing levels of food insecurity, reversing years of development gains, and threatening the achievement of Sustainable Development Goals by 2030. Even before COVID-19 reduced incomes and disrupted supply chains, chronic and acute hunger were on the rise due to various factors, including conflict, socio-economic conditions, natural hazards, climate change and pests.