Although Colombia has the potential to be a cocoa producer for fine flavor and high value markets, it is not greatly recognized as such. In spite of the government’s interest to position the country as a major specialty cocoa producer, no strategic actions have been taken to develop and strengthen this aspect of the value chain.
En este artículo se presenta brevemente un panorama de las principales áreas temáticas abordadas en 14 encuentros realizados por la Asociación Latino-Iberoamericana de Gestión Tecnológica (ALTEC). Ester encuentros constituyen en uno de los espacios más importantes en esta región para la discusión de la investigación en la disciplina de la gestión de la innovación y la tecnología esa asociación desde 1985 hasta el año 2011.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
Controlled Environment Agriculture (CEA) is the production of plants, fish, insects, or animals inside structures such as greenhouses, vertical farms, and growth chambers, in which environmental parameters such as humidity, light, temperature and CO2 can be controlled to create optimal growing conditions.
This report describes the 2012 NAIS Assessment was piloted in 4 countries: Botswana, Ghana, Kenya and Zambia. Data were collected through a survey questionnaire, open-ended interview questions, and data mining of secondary sources. A team led by a national coordinator took charge of data collection from various partner organizations in each country.
This paper examines the role of postsecondary agricultural education and training (AET) in sub-Saharan Africa in the context of the region’s agricultural innovation systems. Specifically, the paper looks at how AET in sub-Saharan Africa can contribute to agricultural development by strengthening innovative capacity, or the ability of individuals and organisations to introduce new products and processes that are socially or economically relevant, particularly with respect to smallholder farmers who represent the largest group of agricultural producers in the region.
El municipio de la Palma, Cundinamarca tiene como base de su economía la agricultura y la ganadería, en el cual el cultivo de café es motor de su desarrollo. La Asociación de Caficultores de la Palma “ASOPARIBARI” organizó a familias de la zona, para buscar la mejora de los procesos de organización comunitaria, productividad y sostenibilidad cafetera. Por otro lado, la Federación Nacional de Cafeteros de Colombia impulsa proyectos para la construcción de centrales de beneficio del café para mejorar la calidad del grano y el manejo de subproductos.
This paper analyses intermediary organisations in developing economy agricultural clusters. The paper critically engages with a growing narrative in studies of intermediaries that have stressed the ownership structure of intermediaries as a key driver for enabling knowledge transfer, inter-firm learning and upgrading of small producers in clusters. Two case studies of Latin American clusters are presented and discussed.
Recent interest in inclusive innovation to serve base-of-the-pyramid markets has so far produced relatively little evidence about the role of policy. Drawing on cases from Kenya's mobile phone sector that have successfully scaled innovations to poor consumers, we suggest that policy-making is not only present, but can also have a significant role in shaping and supporting inclusive innovation systems. In these cases, inclusive innovation has been built upon a reinforcing circle of adaptive innovation, dynamic competition, and presence of innovation intermediaries within poor communities.
Georeferenced data are a key factor in many decision-making systems. However, their interpretation is user and context dependent so that, for each situation, data analysts have to interpret them, a time-consuming task. One approach to alleviate this task, is the use of semantic annotations to store the produced information. Annotating data is however hard to perform and prone to errors, especially when executed manually. This difficulty increases with the amount of data to annotate.