Farmers’ experiments can be defined as the autonomous activities of farmers to try or introduce something new at the farm, and include evaluation of success or failure with farmers’ own methods. Experiments enable farmers to adapt their farms to changing circumstances, build up local knowledge, and have resulted in countless agricultural innovations. Most research on the topic has been conducted in countries of the south.
Organic farming is recognized as one source for innovation helping agriculture to develop sustainably. However, the understanding of innovation in agriculture is characterized by technical optimism, relying mainly on new inputs and technologies originating from research. The paper uses the alternative framework of innovation systems describing innovation as the outcome of stakeholder interaction and examples from the SOLID (Sustainable Organic Low-Input Dairying) project to discuss the role of farmers, researchers and knowledge exchange for innovation.
This paper synthesizes Component 2 of the Regoverning Markets Programme. It is based on 38 empirical case studies where small-scale farmers and businesses connected successfully to dynamic markets, doing business with agri-processors and supermarkets. The studies aimed to derive models, strategies and policy principles to guide public and private sector actors in promoting greater participation of small-scale producers in dynamic markets. This publication forms part of the Regoverning Markets project.
The aim of this study is to conduct a comprehensive analysis of Russian grain production, to determine country’s production potential and its possibility to remain one of the major grain producers on the world market. On the one hand was estimated the technical efficiency during the period of transition to the market economy. By applying a novel approach to the estimation of production efficiency on a regional level, we assess the grain production potential and determine factors that influence productivity beyond the control of the farmers.
This article describes the foreign and domestic approaches to the assessment of agricultural and agro-industrial innovations. The cost behavior analysis in case of agro-industrial technological innovations has been conducted and the efficiency of the growth in high tech production and manufacture has been evaluated. A paradoxical regularity has been revealed: with the relatively stable investments in agriculture there is a sharp reduction in the use of intellectual property. This tendency dictates the need to improve the management system of the intellectual property application.
El papel de la migración en la reestructuración de los sistemas de innovación y tecnologías avanzadas en países destino u origen ha dado lugar a diferentes debates, porque siempre hay dos lados de la moneda; en este caso, norte y sur.
The level of developed countries in the conditions of global competition and open economy in terms of well-being and efficiency cannot be reached, unless the advanced development of the sectors of the economy that determine its specialization in the world economic system is ensured. This will make it possible to actualize national competitive advantages to their maximum.
The creative process that leads to farmers’ innovations is rarely studied or described precisely in agricultural sciences. For academic scientists, obvious limitations of farmers’ experiments are e.g. precision, reliability, robustness, accuracy, validity or the correct analysis of cause and effect. Nevertheless, we propose that ‘farmers’ experiments’ underpin innovations that keep organic farming locally tuned for sustainability and adaptable to changing economic, social and ecological conditions.
This is the proceedings of the international conference ‘Innovations in Organic Food System for Sustainable Production and Enhanced Ecosystem Services’. The proceedings are a compilation of peer-reviewed articles based on presentations of 18 speakers invited conference speakers and published as a Special Issue of the scientific journal ‘Sustainable Agriculture Research’ by the Canadian Centre of Science and Education.
In this paper, introduction presents the problem statement. The second chapter gives a brief description of the Smart Farming system. The third chapter provides an overview of ontologies. The fourth chapter describes implementation of the knowledge base in the Smart Farming system. The fifth chapter presents the main functions of the ontology editor for working with the knowledge base. Conclusions and prospects of further development of knowledge base in crop production are also given