El Programa de Innovación Agropecuaria Local (PIAL) posee una amplia diseminación de acciones en cientos de fincas, buscando alternativas locales que le den solución a las necesidades de prácticas sostenibles con carácter agroecológico, para ello se hace necesario demostrar la efectividad económica del desarrollo a nivel de finca. Este artículo desarrolo un análisis de costo-beneficio que es una herramienta de toma de decisiones para desarrollar sistemáticamente información útil acerca de los efectos deseables e indispensables.
Improvements in the sustainability of agricultural production depend essentially on advances in the efficient use of nitrogen. Precision farming promises solutions in this respect. Variable rate technologies allow the right quantities of fertilizer to be applied at the right place. This helps to both maintain yields and avoid nitrogen losses. However, these technologies are still not widely adopted, especially in small-scale farming systems. Recent developments in sensing technologies, like drones or satellites, open up new opportunities for variable rate technologies.
A range of approaches and financial instruments have been used to stimulate and support innovation in agriculture and resolve interlocking constraints for uptake at scale. These include innovation platforms, results-based payments, value chain approaches, grants and prizes, incubators, participatory work with farmer networks, and many more.
Well-designed and supported innovation niches may facilitate transitions towards sustainable agricultural futures, which may follow different approaches and paradigms such as agroecology, local place-based food systems, vertical farming, bioeconomy, urban agriculture, and smart farming or digital farming.
This book represents the proceedings of the FAO international technical conference dedicated to Agricultural Biotechnologies in Developing Countries (ABDC-10) that took place in Guadalajara, Mexico on 1-4 March 2010. A major objective of the conference was to take stock of the application of biotechnologies across the different food and agricultural sectors in developing countries, in order to learn from the past and to identify options for the future to face the challenges of food insecurity, climate change and natural resource degradation.
The aim of this work was to identify procedures adopted by family farms in the centre and north of Portugal and Galicia (Spain), and to verify whether they resemble those used in organic farming. A checklist was prepared in Portuguese and Spanish and applied personally to managers of family farms. The participation was voluntary and 125 valid responses were collected.
The objective of this paper is to show how Value Chain Analysis for Development (VCA4D) applied sustainable development concept for value chain analysis to establish a manageable set of criteria allowing to provide quantitative information, which is desperately lacking in many situations in developing economies, usable by decision makers and in line with policymakers concerns and strategies (the “international development agenda”).
Partnership brokering is needed to work out new ways of organising food systems that treat agricultural smallholders as a resource and opportunity rather than a problem or distraction. This is because food systems are demanding innovation in the way they are organised. This is a matter of transforming stakeholders into partners in order to reconfigure food systems to operate differently, rather than just operate more efficiently. Fundamental systemic changes are needed as our contemporary food system is failing to deliver the food we increasingly demand.
Increasing attention is being given to evaluating the impact of advisory services in terms of their effectiveness in providing farmers with knowledge and networks for innovation as well as understanding the factors that influence this effectiveness (Prager et al, 2017). The demand and uptake of advisory services is one factor and Klerkx et al (2017) comment on the variation in farmers’ demand and the influences of variables such as farm size, asset status and education as well as stability or turbulence in the regulatory environment.
The digital transformation in agriculture introduces new challenges in terms of data, knowledge and technology adoption due to critical interoperability issues, and also challenges regarding the identification of the most suitable data sources to be exploited and the information models that must be used.