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.
Familiar mixed dairy sheep farm is the most widespread system in the Mediterranean basin, in Latin America and in developing countries (85%). There is a strong lack of technological adoption in packages of feeding and land use in small-scale farms. To increase competitiveness, it would be of great interest to deepen the knowledge of how innovation was selected, adopted, and spread. The objective of this research was to select strategic feeding and land use technologies in familiar mixed dairy sheep systems and later assess dairy sheep farms in Spain.
La notion de service écosystémique est devenue incontournable dans les discours institutionnels et académiques en dépit des controverses et des critiques. Initialement portée par les acteurs de la conservation de la biodiversité, elle connaît depuis plusieurs années un déploiement dans les milieux agricoles. Si l’idée selon laquelle les fonctionnalités des écosystèmes sont déterminantes dans la production agricole n’est pas nouvelle, cette notion permet de mettre en évidence les nouveaux enjeux liés aux changements climatiques et aux besoins alimentaires croissants.
The potential beneficial and harmful social impacts generated by the introduction of novel technologies, in general, and those concerning nutrient recovery and the improvement of nutrient efficiency in agriculture, in particular, have received little attention, as shown in the literature. This study investigated the current social impacts of agricultural practices in Belgium, Germany and Spain, and the potential social impacts of novel technologies introduced in agriculture to reduce nutrient losses.
The digital transformation in agriculture introduces new challenges in terms of data, knowledge and technology adoption due to critical interoperability issues, and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be used.
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.