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.
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.
Presentation for the AARINENA General Assembly. Damascus. 12-14 October 2008 on enhancing Information and Knowledge Systems for Agricultural Research and Innovation in West Asia and North Africa (WANA). In particular, the presentation outlines the need to enhance Information and Knowledge Systems in WANA, the priority areas for enhancing information and knowledge systems in WANA, the role of GFAR and its members in enhancing information and knowledge systems in WANA.
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.
Chile es un país líder en la exportación de alimentos, en donde la apicultura juega un rol fundamental y cuenta con más de 1 300 000 colmenas para apoyar la producción de alimentos a través de la polinización. Las buenas prácticas deben ser abordadas de generación en generación de apicultores para favorecer el mantenimiento de colmenas sanas y activas para la presentación de servicios sistémicos de polinización.