L’agriculture souffre d’un important déficit d’image : qualité des produits jugée médiocre, non respect de l’environnement, pénibilité des métiers… La réalité est cependant tout autre. Tout en restant profondément ancré dans la vie des territoires, ce secteur est devenu numéro deux de la robotisation. De nouvelles méthodes fondées sur le traitement des données, des outils innovants, intelligents et connectés, ainsi que des réseaux de diffusion des innovations et d’entraide contribuent à transformer en profondeur l’agriculture.
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.
This book documents the proof of the Integrated Agricultural Research for Development (IAR4D) Concept that was developed by the Forum for Agricultural Research for Development in Africa (FARA). The IAR4D concept forms the basis for the Sub Saharan Africa Challenge Program (SSA CP) which is the only CGIAR Challenge Program that was limited to only one region in the world.
This reports highlights social learning as an essential aspect in dealing with the complexities around climate change and uncertainty in food production. It is not just about adapting to these complexities, it is actually about implementing tranformative changes.
Agriculture Innovation System (AIS) thinking and approaches are largely perceived as a sine-qua-non for the design and implementation of effective and sustainable agriculture development programmes. AIS has gained popularity in the agriculture innovation literature and has been embedded in policy documents of agriculture sector institutions in many countries. However, there is much less evidence of AIS thinking influencing the behaviours of research and extension institutions and staff ‘on the ground’.
Although agricultural innovation systems (AIS) have recently received considerable attention in academic and development circles, links between an AIS's regional specifications and structural-functional analysis have been neglected. This paper aims to understand how regional and structural dimensions determine systemic problems and blocking mechanisms that, in turn, hinder a regional AIS's function.
This paper compares lessons learned from nine studies that explored institutional determinants of innovation towards sustainable intensification of West African agriculture. The studies investigated issues relating to crop, animal, and resources management in Benin, Ghana, and Mali.The studies showed that political ambitions to foster institutional change were often high (restoring the Beninese cotton sector and protecting Ghanaian farmers against fluctuating cocoa prices) and that the institutional change achieved was often remarkable.
This poster analyzes the status, challenges and opportunities of the Kyeni local innovation platform that was put up to sustainably evaluate, disseminate and hasten adoption of CA technologies involving maize/ legume cropping systems in eastern Kenya. Establishment and maintenance of IPs is one of the action oriented research approaches for technology transfer in the ACIAR funded Sustainable Intensification of Maize-Legume Cropping Systems for Food Security in Eastern and Southern Africa (SIMLESA) project such as Kyeni Local Innovation Platform.
This is one of lead papers presented at Innovation Asia-Pacific Symposium: 4-7 May, 2009 Kathmandu, Nepal. Cases representing practical examples of what it might mean to use innovation systems interventions and recognize key features are presented. Four cases represent actions facilitating uptake of research outputs including; a crop pest bio-control method; post harvest management of coffee; isolation and commercialization of an indigenous seed variety and; a community based system to forecast armyworm plagues.
In this paper, is introduced an integrated supply chain planning tool for fresh vegetables that takes into consideration the characteristics and resources of three specific states in Mexico, to make recommendations in terms of the crops to be planted, the timing of planting and harvesting, and what markets to target such that the farmers’ profits are maximized. Also relevant is the selection of the appropriate agriculture technology level (e.g. open field, shade structures, or greenhouse) within each region analyzed.