El objetivo del trabajo fue obtener información básica sobre la producción y los retornos económicos de la habichuela larga en el Caribe Húmedo de Colombia en el año 2018. No se evidencian trabajos anteriores en materia de caracterización tecnológica y socioeconómica. La información se obtuvo de una encuesta estructurada aplicada mediante el método de muestreo aleatorio simple a 16 productores de habichuela larga. Los retornos económicos se calcularon empleando patrones de costos y técnicas de análisis económico de rentabilidad
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.
This study aims to describe and characterize the state of understanding about RSBs, and to fill knowledge gaps about their role and potential impact. The article will explore the historic and possible future trajectories of the RSBs at the country- and global-levels, by responding to three closely-related research questions: 1. What are the governance structures of the roundtables for sustainable beef? 2. What actions have been taken by, or are planned or likely to be taken by, the roundtables for sustainable beef, that are intended to enhance the sustainability of beef supply chains? 3.
Este artículo analiza algunos conceptos sobre el desarrollo de cadenas de valor como un tipo de intervención que promueve el crecimiento agrícola y apunta a mejorar los ingresos de los productores mediante el fortalecimiento de los vínculos entre las empresas y los pequeños productores.
Este documento, refleja la experiencia del CIAT en sistematizar experiencias de la iniciativa Alianzas de Aprendizaje (donde confluían distintos actores del mundo de la investigación y el desarollo rural que creían en la idea de que compartir su conocimiento traería un mayor beneficio para ellos mismos y sus beneficiarios)
El objetivo de este documento es revisar de manera crítica el desarrollo, los avances y las dificultades en el proceso de creación de la Alianza de Aprendizaje, así como evaluar su contribución final a la hipótesis inicial de trabajo
The purpose of this study is to develop a robust, rigorous and replicable methodology that is flexible to data limitations and spatially prioritizes the vulnerability of agriculture and rural livelihoods to climate change. The methodology was applied in Vietnam, Uganda and Nicaragua, three contrasting developing countries that are particularly threatened by climate change. We conceptualize vulnerability to climate change following the widely adopted combination of sensitivity, exposure and adaptive capacity.
Latin America has historically been a vanguard of agroecology. In Nicaragua, an agroecological transition is occurring, with three decades of building a groundswell based on the farmer-to-farmer movement and the recent institutionalization of agroecology in national law. Yet, problems remain with agroecology’s diffusion. We introduce the Technological Innovation Systems approach to examine systemic barriers to the agroecological transition and cycles of blockages caused by barriers’ interactions.
Small trading activities are a prevalent form of self-employment in developing countries, but their integration into supply value chains is not efficient, especially when it comes to perishable produce. This study tests a novel approach to improve their efficiency by reducing the time and cost of sourcing produce by aggregating purchases through the use of an app and centralized distribution system. Fruit and vegetable vendors in Bogotá currently travel most days to a central market to purchase produce, incurring substantial time and monetary costs.
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.