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.
Este curso tiene como objetivo orientar a los actores de los Estados Miembros en el fortalecimiento efectivo de las capacidades nacionales y garantizar que los programas y proyectos conduzcan a un cambio verdaderamente efectivo y sostenible. Reúne los conocimientos, las herramientas y las lecciones aprendidas de las actividades de la FAO.
Duración del curso: 2 horas
This presentation on By-products was held for a training program out of Dhaka, at Natore district, involving 60 participants. A by-product is defined as the secondary product derived from a manufacturing process or chemical reaction. It is not the primary product or service being produced. In the context of production, a by-product is the 'output from a joint production process that is minor in quantity and/or net realizable value (NRV) when compared to the main products.
It is clear that any definition of a small farm needs to be based on national and regional realities. Definitions involving only the criterion of farm size have universal appeal as they are relatively easy to apply and allow simple comparisons across countries and world regions. However, they don't capture all the complexities of farming. Definitions involving additional criteria to farm size are more meaningful, particularly those including indicators of the farm economic output, but data availability is often a limitation (Ruane, 2016).
The project Small Farms, Small Food Business and Sustainable Food Security (SALSA) intends to assess the role of small farms and small food business in terms of food production and food security. One important first step in doing this is to test and develop methods and tools able to produce accurate and useful information about small farms.
El proyecto CDAIS, implementado por FAO y Agrinatura con el apoyo financiero de la Unión Europea. sostiene la innovación en la agricultura a través del mejoramiento de las capacidades funcionales de los individuos, de las organizaciones y de los sistemas. Reúne a los diferentes socios y utiliza un ciclo de aprendizaje permanente para responder a los desafíos y oportunidades dentro y fuera de los “nichos de innovación” seleccionados en ocho países pilotos de América Central, África y Asia.
El proyecto CDAIS, implementado por FAO y Agrinatura con el apoyo financiero de la Unión Europea, sostiene la innovación en la agricultura a través del mejoramiento de las capacidades funcionales de los individuos, de las organizaciones y de los sistemas. Reúne a los diferentes socios y utiliza un ciclo de aprendizaje permanente para responder a los desafíos y oportunidades dentro y fuera de los “nichos de innovación” seleccionados en ocho países pilotos de América Central, África y Asia.
The purpose of this research was to investigate factors influencing agricultural personnel and consultants’ attitude and behavioral intention to use precision agricultural technologies. The survey research and multistage random sampling were used to collect data from 183 agricultural consultants in Agricultural Engineering and Technical Consulting Services Companies in Iran
This paper is a case study of a network that combined participatory approaches to propose best suited knowledge management (KM) interventions for its member countries. A five-step exercise used existing elements of the alliance’s strategy, a KM survey and a face-to-face participatory validation of the analysis, to identify gaps in current KM approaches and to collectively point to immediate opportunities for improvement. The KM survey, also referred to as a scan, provided a neutral space for reflection.
To establish an effective monitoring and evaluation system that would effectively measure progress towards achieving the project objectives and targets, different data collection methods including surveys, focus group discussions and participatory workshops were conducted. Data were collected to have an in-depth understanding of the constraints in the rice value chain and to identify intervention strategies for addressing the constraints through the value chain analysis approach.