El Curso Masivo en Línea (MOOC) gratis sobre la Gestión de Datos Abiertos en Agricultura y Nutrición fue creado originalmente en el año 2016. El curso fue dado 5 veces entre Noviembre del 2017 y noviembre del 2018, alcanzando a más de 5000 personas mundialmente, antes de ser hecho disponible para su uso sin restricciones.
This shift in thinking will require major shifts in policy, research, and investment. But where should these investments go? What foundations should be strengthened? Which gaps need filling? What’s working? What’s not?
In order to answer these questions in an informed way, we need to examine the evidence that exists and identify areas where more research is needed.
But this is easier said than done.
A huge increase in investment for innovation in sustainable agri-food systems (SAS) will be critical for meeting the objectives of the UN Sustainable Development Goals and the Paris Climate Agreement.
Este libro presenta la sistematización de la experiencias de implementación del aprendizaje basado en emprendimiento mediado por tecnologías digitales como ambientes virtuales de aprendizaje (AVA), recursos educativos digitales (RED) y herramientas web 2.0. Este método de aprendizaje le permite a los estudiantes establecer conexiones entre conocimientos nuevos y aquellos que ya tiene, lo cual desarrolla sus capacidades para aplicar conocimientos a la solución de problemas de su entorno y contribuye a la formación integral de los estudiantes.
Agriculture 4.0 is comprised of different already operational or developing technologies such as robotics, nanotechnology, synthetic protein, cellular agriculture, gene editing technology, artificial intelligence, blockchain, and machine learning, which may have pervasive effects on future agriculture and food systems and major transformative potential. These technologies underpin concepts such as vertical farming and food systems, digital agriculture, bioeconomy, circular agriculture, and aquaponics.
This article examines differences in the research approaches of farmers and scientists and analyzes how these differences are related to the conditions under which both groups engage in experimental work. Theoretical considerations as well as practical experiences are presented to emphasize the great potential of farmer–researcher collaboration for rural innovation.
This interactive guidebook brings together tools and resources to help practitioners design and implement capacity development activities with an innovation systems approach in mind.
AgriFoodTech start-ups are coming to be seen as relevant players in the debate around and reality of the transformation of food systems, especially in view of emerging or already-established novel technologies (such as Artificial Intelligence, Sensors, Precision Fermentation, Robotics, Nanotechnologies, Genomics) that constitute Agriculture 4.0 and Food 4.0. However, so far, there have only been limited studies of this phenomena, which are scattered across disciplines, with no comprehensive overview of the state of the art and outlook for future research.
This deliverable is a report on the main methodological steps implemented in the framework of the Small Farms, Small Food Business and Sustainable Food Security (SALSA) project in task 2.3 of Work Package 2 (WP2) to produce the Output 3, which is a crop type map in small farms context in each reference region (see D.2.4 report pag. 5).
This deliverable is a report of the work done in the framework of the Small Farms, Small Food Business and Sustainable Food Security (SALSA) project in task 2.3 of Work Package (WP2) as defined in the description of work (DOW) of the SALSA project. The title of the task according to the DOW is Task 2.3 - Small farms characterization in the reference regions.