This paper has been presented at the Fifth International Seminar on Dynamics of Farmer Managed Irrigation Systems: Socio-Institutional, Economic and Technical Context, Kathmandu, Nepal, 25-26 March 2010, organized by Farmer Managed Irrigation System Trust. International Water Management Institute, the then International Irrigation Management Institute (IWMI) began its activities in Nepal since 1986 with a Memorandum of Understanding with His Majesty's Government of Nepal, now the Government of Nepal.
This paper is based on the 8th GLOBELICS International Conference: Making Innovation Work for Society (1 - 3 November 2010, University of Malaya, Kuala Lumpur, Malaysia). The paper presents three projects of the Research Into Use Program, located in South asia, which are applying three agriculture value chain development oriented knowledge for wider use. Practical aspects of the process and roles played by different types of ageincies in the innovation are discussed.
This paper has been prepared from a transcript of a presentation at the Crawford Fund 2017. This talk is a synthesis of some of the emerging issues we are seeing in the digital revolution, and how we can overcome the barriers to digitalised agricultural systems in the developing world
This analysis evaluates a real world complex intervention to study the impacts of an agricultural value chain development program on livelihood outcomes, in hill and mountainous regions of Nepal. The intervention was not designed for the study and no baseline data existed to compare the final outcomes. Data came from a carefully designed household survey administered to 3,028 households (50% beneficiaries and other 50% non-beneficiaries) across seven districts in Western Nepal.
Although innovation is understood to encompass much more than R&D, science continues to be an essential ingredient. In particular translation, adaptation and ‘valorisation’ of research results, the responsiveness of research to users’ needs and improved access to results are all regarded as important in achieving a more sustainable European agriculture. These challenges can be addressed in a number of ways including increased collaboration, networking, transdisciplinary research and co-operation between researchers and practitioners.
This paper explores the potential of Actor Network Theory (ANT) in understanding how the process of interaction and translation between human and non-human actors contribute to the development, adoption and diffusion of science-based innovations linked to the transition to organic farming. The study relies on two case studies, the French Camargue case covering a range of technical and social innovations, and the case from Bulgaria focusing on the development of a technical and product innovation, i.e. a veterinary product for organic beekeeping.
In this paper the High Nature Value (HNV) livestock farming systems are defined. These systems are found mainly in marginal areas where physical factors, and in some cases social factors, have prevented intensification of land-use. NV-LINK is a Horizon2020 project that seeks to improve the socio-economic and environmental sustainability of HNV farming in 10 Learning Areas, and more widely across the EU, by promoting innovation.
Agricultural machinery manufacturers historically referred to the intermediate players for selling, maintenance, customer service and/or training of equipment appear to interact with farmers and end-users. Intermediate players have therefore faced the burden to master the technology, in constant evolution, and the associated training needs at the interface between sophisticated equipment and the end-user and its sociological characteristics (age, education, background, etc.).
L’une des avancées les plus importantes dans le domaine de l’observation de la terre est la découverte des indices spectraux, ils ont notamment prouvé leur efficacité dans la caractérisation des surfaces agricoles, mais ils sont généralement définis de manière empirique. Cette étude basée sur l’intelligence artificielle et le traitement du signal, propose une méthode pour trouver un indice optimal. Et porte sur l’analyse d’images issues d’une caméra multi-spectrale, utilisée dans un contexte agricole pour l’acquisition en champ proche de végétation.
L’herbe pâturée est l’aliment qui coûte le moins cher dans une ration et la bonne gestion de l’herbe passe entre autre par une connaissance des quantités disponibles. Afin de simplifier et d’automatiser ces mesures d’herbe, et ainsi contribuer au maintien voire au développement du pâturage, le projet HERDECT s’est attaché à construire des méthodes d’estimation de la biomasse des prairies à partir d’outils de télédétection (d’acquisition à distance) et à en estimer la faisabilité opérationnelle.