The Agricultural Innovation System (AIS) is a network of organizations, enterprises and individuals that focuses on bringing new products, processes and forms of organization into economic use, together with the institutions and policies that affect their behaviour and performance. In the small North East Indian state of Tripura, System of Rice Intensification (SRI) has grown to develop into an innovation system where various stakeholders have come together to make the state self-sufficient in food grains.
This paper draws lessons from selected country experiences of adaptation and innovation in pursuit of food security goals.
The purpose of this paper is to map some elements that can contribute to an IFAD strategy to stimulate and support pro-poor innovations. It is an initial or exploratory document that hopefully will add to an ongoing and necessary debate, and is not intended as a final position paper. The document is organized as follows.
Small-scale farmers' experimental innovations have not generally been considered for on-farm research trials as those in the traditional sector have been perceived as recipients, rather than originators, of technical knowledge and sustainable and viable practices. Yet there is abundant evidence throughout the tropics that small-scale farmers are adaptive and experimental problem solvers, and experts at devising innovative survival strategies. While literature on the topic is rich with accounts from Africa, Asia and Latin America, there is a general dearth of examples from the Caribbean.
These notes summarise reflections on local innovation and participatory innovation development that took place within the PROLINNOVA International Support Team (IST), based on observations and discussions with network partners during advisory visits and international workshops.
This article describes one of the local innovations identified by the Northern Typical Highlands (NTH) platform of Prolinnova-Ethiopia: an intricate system of harvesting water from waterlogged land to allow cultivation in the long wet season, coupled with storage of this harvested water to use for supplementary irrigation in the following dry season.
The innovation system perspective acknowledges the contributions made by all stakeholders involved in knowledge development, dissemination and appropriation. According to the specific agricultural production system, farmers adopt innovations, modify them or innovate on their own. This paper examines the role of farmers' experiments and innovations in Cuba's agricultural innovation system (AIS), identifies knowledge exchange encounters and describes some strategies implemented to institutionalize farmers' experiments and innovations.
Historically, farmers have been some of the most innovative people in the world. However, agriculture lags behind other sectors in its uptake of new information technologies for the control and automation of farming systems. In spite of decades of research into innovation, generally we still do not have a good understanding as to why this is the case. This paper reviews two theories of innovation and offers a new approach to thinking about agricultural ICT (e-Agriculture). It firstly explores the problem of ICT adoption in agriculture.
This book is the re-titled third edition of the widely used Agricultural Extension (van den Ban & Hawkins, 1988, 1996). Building on the previous editions,Communication for Rural Innovation maintains and adapts the insights and conceptual models of value today, while reflecting many new ideas, angles and modes of thinking concerning how agricultural extension is taught and carried through today.
This paper analyzes the impact of participation in multi-stakeholder platforms (Plataformas) aimed at linking smallholder potato farmers to the market in the mountain region of Ecuador. It describes and evaluates the Plataformas’ program to determine whether it has been successful in linking farmers to higher-value markets and the effects that such connections have brought, particularly with regard to farmers’ welfare and to the environment. The analysis is run comparing a set of different and carefully constructed control groups to beneficiaries and using various specifications.