The international workshop on Agricultural Innovation Systems in Africa (AISA) was held in Nairobi, Kenya, on 29–31 May 2013. Its main objectives were to learn jointly about agricultural innovation processes and systems in Africa, identify policy implications and develop policy messages, and explore perspectives for collaborative action research on smallholder agricultural innovation.The workshop focused on sharing experiences in trying to understand and strengthen multi-stakeholder innovation processes and the role of smallholders in innovation, and identifying and discussing priorities an
Une analyse de trajectoires d’innovations agricoles au Bénin observées dans la longue durée permet d’en identifier les facteurs de diffusion à grande échelle. Beaucoup d’innovations passent inaperçues sur de longs tronçons de leur trajectoire, étant endogènes ou impliquant des acteurs non « conventionnels » et pas d’organisations de recherche. Les innovations qui passent à grande échelle sont en fait des faisceaux d’innovations technologiques, institutionnelles ou organisationnelles qui s’enchaînent les unes en réponse aux contraintes des autres.
L’agriculture familiale est l’une des formes d’organisation de l’agriculture à travers le monde. Elle se décline en fait en une multiplicité de types concrets repérables au niveau des exploitations agricoles .
Le Tuy, province de l'Ouest du Burkina Faso est une région soudanienne à forte pression démographique et pastorale où se posent avec acuité des problèmes de fertilité des sols. Face à la dégradation des ressources naturelles, opter vivre dans son milieu natal et s'assurer une bonne production agropastorale nécessite de la part des acteurs des actions concertées. Le projet Fertipartenaires aide les producteurs de cette province à se concerter, à réfléchir à leurs problèmes, proposer et expérimenter des solutions et les évaluer afin d'améliorer leur sécurité alimentaire.
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.
The creation of commercialization opportunities for smallholder farmers has taken primacy on the development agenda of many developing countries. Invariably, most of the smallholders are less productive than commercial farmers and continue to lag in commercialization. Apart from the various multifaceted challenges which smallholder farmers face, limited access to extension services stands as the underlying constraint to their sustainability.
Common Agricultural Policy (CAP) proposes environmental policies developed around action-based conservation measures supported by agri-environment schemes (AES). High Nature Value (HNV) farming represents a combination of low-intensity and mosaic practices mostly developed in agricultural marginalized rural areas which sustain rich biodiversity. Being threatened by intensification and abandonment, such farming practices were supported in the last CAP periods by targeted AES.
The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.
This document presents VOCATIONAL TRAINING and E-LEARNING organized by CIRAD and available in English. They are open to everyone seeking to acquire new skills or build capacities. The main categories of Vocational trainings are: Animal health and emerging diseases; Cell biology; Computer science; GIS and modeling; Cotton; Cultivated ecosystems; Economics and management of natural resources; Food safety and quality; Plant protection; Sugarcane; Support to research.
There is an increasing interest among researchers, practitioners and donors in using agricultural innovation systems approaches to reach development outcomes. Limited practical experiences have been shared on the dynamics of these innovation processes and how project partners have dealt with that. The objective of this paper is therefore to share experiences from a smallholder livestock development project − the imGoats project in Mozambique – by reflecting on the dynamics of innovation processes in the project.