In order to determine the factors affecting the adoption of agricultural innovations, 169 farmers were reviewed in 7 counties that may represent Erzurum province in terms of social, economic and cultural aspects. The data were analyzed in LIMDEP software using logistic regression method and the results were presented in tables. The innovations examined in the study were adoption of artificial insemination, membership to cooperative, having automatic waterer in stables and making use of incentives for agricultural production.
This paper briefly analyse the genesis, development and change in public sector-led extension approaches in India showing its temporal pattern, emerging innovations in extension approaches and the way forward. It discusses decentralized, community based, pluralistic extension approaches and their opportunities as well as limitations in changing agricultural and natural resources scenario.
Innovation system approach offers an holistic, multidisciplinary and comprehensive framework for analyzing innovation process, the roles of science and technology actors and their interactions, emphazing on wider stakeholder participation, linkages and institutional context of innovation and processes. This paper was aimed to: 1. review the concept of innovation system; 2. appraise the application to agriculture and its relevance and 3. analyze the policy implications for agricultural extension delivery in Nigeria.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated.
The focus of this paper is on how the institutional arrangements within the on-farm sector of the New Zealand dairy industry influence industry participants and encourage them to be innovative, in the context of industry productivity goals. The authors will present and discuss an approach to policy systems analysis that facilitates shared understanding between system participants and enables strategies for change to be identified.
In this paper the authors provide climate smart agriculture (CSA) planners and implementers at all levels with a generic framework for evaluating and prioritising potential interventions. This entails an iterative process of mapping out recommendation domains, assessing adoption potential and estimating impacts. Through examples, related to livestock production in sub-Saharan Africa, they demonstrate each of the steps and how they are interlinked. The framework is applicable in many different forms, scales and settings.
The Tanga Dairy Platform, created in 2008, is an informal forum of different stakeholders involved in the dairy industry of Tanzania’s Northeastern Tanga region. The platform’s objective is to exchange knowledge and develop joint actions to common problems. Six years on, it is a sustainable example of a commodity association addressing the joint problems of the region’s dairy industry.
Most cocoa farmers in Ghana do not adopt research recommendations because they cannot afford the cost, therefore, yields are low. Integrated pest management (IPM) technologies that rely on low external inputs were tried with a group of farmers. The technologies included using aqueous neem seed extracts to control capsids; removing diseased pods to reduce blackpod incidence; controlling mistletoes, epiphytes, weeds; and managing shade. Although yields increased significantly, adoption was constrained by technical, social and economic factors.
Despite the well-known importance of innovation to productivity growth in the agri-food sector, very few studies have attempted to measure farm-level innovation. This article contributes to the literature by developing an agricultural innovation index that goes beyond measuring innovation through adopted technologies. Based on this index, drivers and barriers of innovation are assessed. The findings reveal that innovation efforts differ between farm systems.
According to the authors of this paper, actual methods of scaling are rather empirical and based on the premise of ‘find out what works in one place and do more of the same, in another place’. These methods thus would not sufficiently take into account complex realities beyond the concepts of innovation transfer, dissemination, diffusion and adoption. As a consequence, scaling initiatives often do not produce the desired effect.