Este documento trata de como el sector público puede respaldar los pequeños agricultores en Perú.
In this paper, is first described the design and development process of a modular ICT application system called GeoFarmer. Geofarmer was designed to provide a means by which farmers can communicate their experiences, both positive and negative, with each other and with experts and consequently better manage their crops and farms. We designed GeoFarmer in a collaborative, incremental and iterative process in which user needs and preferences were paramount.
Relatively little information is known about research and extension within peri-urban environments concerning soil health and management. Ethnopedological work has contributed to ethno-scientific knowledge by bridging the communication gap between scientists and locals concerning soil taxonomies, soil health, and soil fertility management. This study explores mental models of farmers and experts, examining the communication gap concerning soil health and food security. Semi-structured interviews were used to collect data from farmers (n = 19) and experts (n = 13).
The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.
Mixed family farms produce almost half of the world food. Increasing food supply in developing countries requires increasing productivity of both land and farmers’ labour as key to increase household income, food security and reduce poverty. A research project developed into Uruguayan vegetable family farms (2006–2010) revealed that the main life quality problems were low family income, high work overload, lack of leisure time, and health problems associated with work. In many of these farms, labour productivity was lower than the opportunity cost of labour.
This article extends social science research on big data and data platforms through a focus on agriculture, which has received relatively less attention than other sectors like health. In this paper, I use a responsible innovation framework to move attention to the social and ethical dimensions of big data “upstream,” to decision-making in the very selection of agricultural data and the building of its infrastructures.
En el presente documento se realiza un análisis de la situación de los principales clusters de Argentina y cómo estas estructuras asociativas pueden mejorar la generación de innovaciones y generar externalidades positivas para la comunidad. Lo anterior se realiza a través de un análisis de tipo descriptivo, abordando el objeto de investigación mediante el estudio de casos. Asimismo se aplicó un modelo de gestión de conocimiento con el fin de evaluar los efectos de los clusters en la innovación y la creación de conocimiento valioso.
Social learning in multi-actor innovation networks is increasingly considered an important precondition for addressing sustainability in regional development contexts. Social learning is seen as a means for enabling stakeholders to take advantage of the diversity in perspectives, interests and values for generating more sustainable practices and policies. Although more and more research is done on the meaning and manifestations of social learning, particularly in the context of natural resource management, little is known about the social dynamics in the process of social learning.
This study examines the influence of an extra-curricular educational program on children's knowledge and cultural valuation of wild food plants, which are an important component of their diets. This program aims to reinforce children's traditional knowledge and values around biological resources in Wayanad, India's Western Ghats, encouraging tribal and non-tribal children to learn from each other and from their own communities. Results show that the educational program has enhanced children's ability to identify selected wild food plants.
This methodological guide was initially developed and used in Latin America and the Caribbean-LAC (Honduras, Nicaragua, Colombia, Peru, Venezuela, Dominican Republic), and was later improved during adaptation and use in eastern African (Uganda, Tanzania, Kenya, Ethiopia) through a South-South exchange of expertise and experiences. The aim of the methodological guide is to constitute an initial step in the empowerment of local communities to develop a local soil quality monitoring and decision-making system for better management of soil resources.