Knowledge on indigenous chicken production exists but its potential is not yet fully exploited. Although the actors could be known, it is not clear where value is lost or gained, neither is it clear which of the actor gains or losses most, nor the challenges they face. Moreover, if some of the actors are exploited and therefore, realize glaring losses, the entire value chain will be affected and this will affect not only the actors who earn a direct living from the chain, but the entire nation for loss of gainful employment and revenue.
The agrarian system Analysis and Diagnosis is used for this study, the goal of which was to provide a corpus of basic knowledge and elements of reflection necessary for the understanding the Niayes farming systems dynamics in Senegal, West Africa. Such holistic work has never been done before for this small region that provides the majority of vegetables in the area, thanks to its microclimate and access to fresh water in an arid country.
The agricultural innovation system can be strengthened by increasing the learning capacity of research and field organisations. Participatory methods were developed to study three dimensions of the capacity of such organisations in Nicaragua to access and analyse information, highly correlated to learning capacity – the individual routines of their professionals, the formal procedures of the organisation and the organisation's use of collaborative projects to strengthen core operations.
Lors de l'intervention d'une plate-forme d'innovation (groupe d'acteurs concernés) dans un domaine donné, nous avons tendance à attribuer les causes du changement aux actions de cette plate-forme. Cet article utilise le cas d'une plate-forme d'innovation dans le secteur du karité au Mali pour analyser comment les plates-formes d'innovation produisent les résultats escomptés.
Este folleto trata de tipos de red de innovación, de sus definición y funcionamiento.
Social media (SM) such as Twitter and Facebook are new communication tools for rural communities, and SM has enabled the creation of rural social networks. Increased use by farmers of 'mobile digital devices' and better rural access to broadband services have enhanced so that SM is being used to support farming decisions. However, in depth studies on how SM is used for knowledge sharing amongst farmers and the role of rural professionals (e.g. advisors) in this space is an emergent field with limited literature.
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.
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.
As a party to the Convention on Biodiversity (CBO), there is a need for Malaysia to implement its commitment to CBO's objectives on conserving biological diversity, sustainable utilisation of natural resources, and fair and equitable benefit sharing deriving from the use of genetic resources. Under the Ninth Malaysia Plan (RMK9), the Ministry of Natural Resources & Environment has allocated a special grant to Forest Research Institute Malaysia (FRIM) to establish a database on forest related traditional knowledge of the Orang Asli in Peninsular Malaysia.
Water is a vital and scarce resource in agriculture and its optimal management is emerging as a key challenge. This paper presents an automated irrigation system to reduce water utilization in agriculture by combining the Internet of Things (IoT), cloud computing and optimization tools. The automated irrigation system deploys low cost sensors to sense variables of interest such as soil moisture, pH, soil type, and weather conditions. The data is stored in Thingspeak cloud service for monitoring and data-storage.