This report assesses trends in investments, human resource capacity, and research outputs in agricultural R&D -excluding the private (for-profit) sector- in LAC. It is an update of Stads and Beintema (2009), covering a more complete set of countries and focusing primarily on developments during 2006-2012/2013.
Kenya has emerged as a frontrunner in information and communication technologies (ICT) in Sub-Saharan Africa. The government has been actively supporting the ICT sector as one of the key drivers of economic growth. In addition to large international firms that are setting up offices in Nairobi, such as Nokia, IBM and Google, local start-ups have also been expanding rapidly.
La lutte contre la malnutrition constitue un enjeu majeur de développement, longtemps négligé. C’est pourquoi la France, aux côtés de nombreux autres bailleurs, a pris des engagements internationaux pour lutter contre la malnutrition. La sous-nutrition ne concerne pas seulement les situations d’urgence et la malnutrition relève d’un ensemble de facteurs multisectoriels, très liés à un territoire donné. Il paraissait donc nécessaire à l’Agence Française de Développement de bien ancrer la lutte contre la malnutrition dans la réalité opérationnelle.
Diversity field school (DFS) is a community-based action designed to create a platform for learning and sharing of crop diversity related knowledge and information. DFS places an emphasis on agency, participation, and empowerment, and seeks to develop both the knowledge base and leadership potential of local farmers. It adopts the models of farmers’ field school and community based management through a lens of crop genetic diversity.
Este folleto trata de tipos de red de innovación, de sus definición y funcionamiento.
The paper presents an efficient approach for the modelling of wire robots kinematic and dynamics considering the effects of structural elasticity. Using the simulation and animation system several potential applications in agriculture have been simulated and analysed. The paper discusses possible robot configurations, system dynamic constraints and limits, as well as reachable performance for typical large-span wire robot applications in agriculture.
This is a chapter of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
Depuis une dizaine d’années, SOS Faim développe avec ses partenaires latino-américains, une nouvelle stratégie pour endiguer la pauvreté rurale : le développement territorial rural (DTR). On peut définir le DTR comme étant une dynamique d’animation et de concertation entre acteurs publics et privés (entre autres les Organisations Paysannes) sur un territoire donné, en vue d’améliorer durablement les conditions économiques et sociales de sa population.
This chapter presents an analytic framework to identify agricultural innovations that are sustainable and suitable for the poorest and most vulnerable parts of the population. The framework contains a set of tools to collect and evaluate information on appropriate innovations based on relevant criteria. It considers the dimensions of environmental resilience, economic viability, and social sustainability, as well as technical sustainability considering important properties of the innovation itself.
The objective of this research was to explore the use of data information of a low-cost IMU to provide an attitude angle with acceptable accuracy for agricultural robot navigation. This work was an attempt to create attitude angle estimation system via sensor fusion method based on gyroscope and accelerometer in this low-cost IMU. The used algorithm processed and integrated the data from triple gyroscope and tri-axis accelerometer using a low-pass filter and Kalman filter. Under this algorithm, experiment data showed that the estimation precision was improved effectively.