América Latina y el Caribe (ALC) se caracteriza por aplicar una estrategia de desarrollo que depende de manera notable de la explotación de sus recursos naturales. Debido a que la población de la región aumenta de forma sistemática, la presión sobre los recursos naturales ha tenido un incremento marcado.
Actores locales y productores agropecuarios en Latinoamérica tienen acceso limitado a la información agroclimática y, cuando logran acceder a ella, tienen dificultades para traducirla en conocimiento procesable y accionable. Si bien los servicios climáticos son reconocidos por contribuir a cerrar la brecha entre la generación de información climática y su uso por parte de las partes interesadas, su provisión y uso en Latinoamérica aún representa un desafío crítico.
Nicaragua is the largest country in Central America, and agriculture is one of the engines of economic and social development. The agricultural sector contributes 16.1 percent of the Gross Domestic Product (GDP), 33 percent of formal employment and the food security of the population. There are 260 000 producers involved in agricultural production.
Nicaragua es el país más grande de América Central, y la agricultura es uno de los motores del desarrollo económico y social. El sector agrícola aporta el 16.1 por ciento del producto interno bruto (PIB), el 33 por ciento del empleo formal y la seguridad alimentaria de la población. Alrededor de la producción agropecuaria se integran 260 000 productores.
Local stakeholders and agricultural producers in Latin America have limited access to agroclimatic information and, when they do gain access to it, they have difficulty translating it into understandable and actionable knowledge. While climate services are recognized as contributing to bridging the gap between the generation of climate information and its use by stakeholders, their provision and use in Latin America still represents critical challenge.
This study aims to clarify the Japanese characteristics of the spread of smart agriculture utilizing digital technology, which is expected to spread worldwide, and to provide policy implications for further dissemination of the technology. We conducted a questionnaire survey on actual conditions related to smart agriculture on Japanese farms. We have also proposed creation of a Smart Agricultural Kaizen Level (SAKL) technology map by applying the evaluation method used in management technology theory for the manufacturing industry.
The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis considering a multicultivar approach.
Ornamental plants are constantly being improved by new technologies and cultivation systems to provide new, high-quality plant material for one of the most demanding markets in the horticulture sector. In addition, the ornamental production sector faces several challenges, such as an increase in costs of production, new and old pests and diseases, climate change and the need to adapt to environmental stresses, the need for conservation and environmental protection, and competition with other food and energy crops in terms of areas and natural resources.
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.
This report provides an overview of the Tropical Agriculture Platform (TAP) since its inception in 2012, when it was officially launched by FAO at the first G20 Meeting of Agriculture Chief Scientists (MACS) in September 2012 in Mexico, until December 2018. The G20 Agriculture Deputies agreed on this stock taking exercise that started under the 2018 Argentinian G20 Presidency.
This exercise was done on the occasion of the G20 MACS meeting in April 2019 in Japan. Its purposes are the following: