Agricultural innovation in low-income tropical countries contributes to a more effective and sustainable use of natural resources and reduces hunger and poverty through economic development in rural areas. Yet, despite numerous recent public and private initiatives to develop capacities for agricultural innovation, such initiatives are often not well aligned with national efforts to revive existing Agricultural Innovation Systems (AIS).
In the 90’s first steps were taken in Cuba to strengthen family farming. A participatory seeds breeding, multiplication and diffusion project started, a challenge to Cuban scientists, not used to involve farmers in the decision making process and recognizing them as equal partners. This project further evolved to become the Local Agricultural Innovation Programme, Spanish acronym PIAL (Programa de Innovación Agropecuaria Local).
En los últimos 25 años se han producido cambios significativos en la vida rural de América Latina, en sus dimensiones política, económica, social, laboral, demográfica, cultural y ambiental, a partir de lo que se denominó los Programas de Ajuste Estructural y de las decisiones políticas y económicas que tomó cada país en particular. Uno de los elementos centrales y determinantes de las reformas en los Sistemas de Extensión y Transferencia de Tecnología Agraria (SETTA) ocurrió a partir de fines de la década de los setentas y principios de la década de los ochentas.
L’agriculture familiale est de loin la forme d’agriculture la plus répandue au monde, tant dans les pays développés que dans les pays en développement. Elle représente la principale source d’emplois dans le monde. C’est bien plus qu’une simple modalité de production alimentaire. C’est un mode de vie.
La FAO a adopté une approche multidimensionnelle pour aider les exploitants familiaux pauvres à faire face aux difficultés qu’ils rencontrent au quotidien et renforcer leur capacité de création de revenus, afin de réduire la pauvreté rurale.
L’objectif de ce guide est de faciliter la planification et la mise en œuvre des
sessions de formation. Il fait partie du cours de Gestion d’entreprises associatives
rurales en agroalimentaire et a été conçu pour les facilitateurs qui possèdent
des connaissances et une expérience en ce qui concerne les aspects techniques de
la formation, mais qui n’ont pas forcément de compétences pédagogiques et qui
n’ont pas d’expérience leur permettant de faciliter le processus d’enseignementapprentissage.
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.