Year 1 activities were mainly on establishment of the project team at the global and country levels. A Partnership Agreement between AGRINATURA-EEIG and FAO was formalized and signed, and practical coordination mechanisms established. A Specific Power of Attorney between AGRINATURA-EEIG members within CDAIS was created, agreed and signed by all members, serving as the consortium agreement among members.
This book will benefit people and teams involved in planning and decision making. On the basis of their pragmatic value in guiding decisions, needs assessments are used in various professions and settings from emergency rooms to corporate boardrooms to guide decision making. Nonetheless, although needs assessments have many different applications, in this book on needs assessments as they are applied in organizations to accomplish results, as opposed to their use in personal decisions or medical triage.
The determination of bunch features that are relevant for bunch weight estimation is an important step in automatic vineyard yield estimation using image analysis. The conversion of 2D image features into mass can be highly dependent on grapevine cultivar, as the bunch morphology varies greatly. This paper aims to explore the relationships between bunch weight and bunch features obtained from image analysis considering a multicultivar approach.
This practitioner’s guide, a companion volume to The Innovation Paradox picks up where the previous report left off. It aims to help policy makers in developing countries better formulate innovation policies. It does so by providing a rigorous typology of innovation policy instruments, including evidence of impact—and more importantly, the critical conditions in terms of institutional capabilities to successfully implement these policy instruments in developing countries.
Indicator-based tools are widely used for the assessment of farm sustainability, but analysts still face methodological and conceptual issues, including data availability, the complexity of the concept of sustainability and the heterogeneity of agricultural systems. This study contributes to this debate through the illustration of a procedure for farm sustainability assessment focussed on the case study of the South Milan Agricultural Park, Italy. The application is based on a set of environmental, social and economic indicators retrieved from the literature review.
Innovation processes in rural contexts occur in systems that are diverse, coupled with complex challenges. Dealing with complex systems requires an understanding of the social dynamics of actor networks and innovation.This study attempted to provide insights on thecompositional dynamics of actor networks,and how they influenceinteractive learning and innovation among agro-processing enterprises in South Africa. The guiding research questions to help address the study objectives are:What are the structural characteristics of actor networks for innovation in rural contexts?
El presente estudio es una herramienta técnica para orientar los esfuerzos de las redes nacionales de innovación tecnológica en Honduras, y tiene como objetivo identificar la problemática y la agenda para la innovación tecnológica de los actores de la cadena de maíz en el país.
Smallholder farmers in East Africa need information and knowledge on appropriate climate-smart agriculture (CSA) practices, technologies, and institutional innovations in order to effectively adapt to changing climatic conditions and cope with climate variability. This paper assesses farmer adoption of climate-smart agricultural practices and innovation after being exposed to Farms of the Future Approach (FotF). First; we explore and assess the various CSA technologies and practices; including institutional innovations farmers are adopting.
The study explored the contribution of information and communication technology (ICT)-based information sources to market participation among smallholder livestock farmers. Use of ICTs is considered paramount for providing smallholder farmers with required market information, and also to reduce market asymmetries. A double hurdle regression was utilized to analyze data collected from 150 smallholder livestock farmers in the study area.
The process of adopting innovation, especially with regard to precision farming (PF), is inherently complex and social, and influenced by producers, change agents, social norms and organizational pressure. An empirical analysis was conducted among Italian farmers to measure the drivers and clarify “bottlenecks” in the adoption of agricultural innovation. The purpose of this study was to analyze the socio-structural and complexity factors that affect the probability to adopt innovations and the determinants that drive an individual’s decisions.