In the Netherlands, agroforestry is still in its infancy with silvoarable agroforestry systems being the most rarely adopted form of agroforestry. In order to reach a broader adoption of agroforestry, many regulatory and practical obstacles have to be overcome. By using a systems innovation approach this paper show that this transition process can be facilitated and accelerated in a targeted manner. System innovations in agriculture are multi-objective changes on the technological, social, economic and institutional level.
This paper reports the activities carried out in the first Regional Agroforestry Innovation Networks (RAINs) meeting organized in Italy where Agroforestry Innovation Network project (AFINET) project is focused on the multipurpose olive tree systems in the territory around Orvieto Municipality, Umbria Region, Central Italy.
AFINET is one of the seventeen thematic networks that the European Union has financed under the H2020 framework and it is supervised by the EIP-Agri in order to foster innovation in Europe. The main topic of AFINET is agroforestry a practice of deliberately integrating woody vegetation with crops and/or animal systems and the promotion of this practice to foster climate changes. AFINET follows a multi-actor approach linked to the nine Regional Innovations Networks created to identify main challenges and develop main innovations about agroforestry.
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 sustainability of food value chains is an increasing concern for consumers, food companies and policy-makers. Global food chains are often perceived to be less sustainable than local food chains. Yet, thorough food chain analyses and comparisons of different food chains across sustainability dimensions are rare. In this article it is analyzed the local Belgian and global Peruvian asparagus value chains and explore their sustainability performance.
In this study the farmers were first asked to answer two sets of statements related to views on climate change and experiences on changes so far in their own farm or nearby locations.
This material was presented duting the conference: Big Data, a multiscale solution for a sustainable agriculture in Copenhagen Denmark in 2017 and brings an overview of the technological innovations of the French agricultural sector.
The paper aims at finding out how significantly stakeholders are consulted and involved by preparers, Ukrainian publicly-listed agricultural companies, while compiling sustainability reporting (SR) and by assurance providers, during assurance processes of SR. The paper’s main research question may be formulated as follows ‘How deeply stakeholders are involved at Ukrainian agricultural companies in the preparation of their sustainability reporting and assurance?’
The organisation of sector and multi-stakeholder consultations was an integral part of the first phase of the PAEPARD II programme, covering the period 2009–2013. These consultations contributed to the overall objective of the programme, the reorientation of scientific and technical collaboration between Africa and Europe in the area of agricultural research for development (ARD), in order to promote thecreation of multi-stakeholder partnerships that are demand-oriented and mutually beneficial.
This deliverable is a report of the work done in the framework of the Small Farms, Small Food Business and Sustainable Food Security (SALSA) project in task 2.3 of Work Package (WP2) as defined in the description of work (DOW) of the SALSA project. The title of the task according to the DOW is Task 2.3 - Small farms characterization in the reference regions.