In this paper it is assessed the types of knowledge networks utilised by small-scale farmers in four case studies (located in Bulgaria, Poland, Portugal, and the United Kingdom). We focus on knowledge acquired to inform three new activities being undertaken by study participants: agricultural production, subsidy access and regulatory compliance, and farm diversification (specifically agritourism).
Research on next generation agricultural systems models shows that the most important current limitation is data, both for on-farm decision support and for research investment and policy decision making. One of the greatest data challenges is to obtain reliable data on farm management decision making, both for current conditions and under scenarios of changed bio-physical and socio-economic conditions.
This booklet contains fifteen short stories told by field staff of the 2SCALE project about their personal experiences on how their work impacted a particular person or group. The booklet results from a regional review and capitalisation workshop that was organised in Benin in March 2017 within the framework of the 2SCALE programme. 2SCALE (Towards Sustainable Clusters in Agribusiness through Learning in Entrepreneurship) is a major agribusiness incubator programme implemented since 2012, and is aimed at promoting inclusive agribusiness partnerships in nine African countries.
Este documento tiene como propósito avanzar en un análisis de la agricultura colombiana desde una perspectiva territorial. La base de este análisis es el reconocimiento expreso de la heterogeneidad territorial presente en Colombia y la necesidad de contribuir con insumos técnicos que permitan reconocer las diferencias y así poder identificar de manera más precisa oportunidades para un sector que tiene potencial de desarrollo y que en un contexto de construcción de paz, puede ser fundamental para un crecimiento sostenible e inclusivo.
To keep yield advances, farmers in Mato Grosso (MT) have been adopting several technological innovations. Therefore, agricultural production systems in MT have become complex and dynamic since farmers have to consider the increase of decision variables when planning and implementing their farming practices. These variables are widely spread across many distinct topics, bringing them together and summarizing information from diverse fields of research has become a difficult task in farmers’ decision-making process.
This free Massive Open Online Course (MOOC) on Open Data Management in Agriculture and Nutrition was first created in 2016. The course was delivered 5 times between November 2017 and November 2018, reaching over 5000 people globally, before being made available for unrestricted use
Numerous innovation platforms have been implemented to encourage the adoption of agricultural innovations and stakeholder interactions within a value chain. Yet little research has been undertaken on the design and implementation of innovation platforms focussing on issues other than market access and aiming to encourage agro-ecological intensification.
In this review, we examine the debate surrounding the role for organic agriculture in future food production systems. Typically represented as a binary organic–conventional question, this debate perpetuates an either/or mentality. We question this framing and examine the pitfalls of organic–conventional cropping systems comparisons. The review assesses current knowledge about how these cropping systems compare across a range of metrics related to four sustainability goals: productivity, environmental health, economic viability, and quality of life.
Este documento en el contexto del Programa Regional de Investigación e Innovación por Cadenas de Valor Agrícola (PRIICA), tiene como objetivo el desarrollo de acciones para incrementar la disponibilidad de los alimentos y el acceso a ellos y a generar bienes públicos internacionales, mediante la investigación agrícola en los productos-cadena: papa, yuca, tomate y aguacate en Centroamérica y Panamá.
Galvanizing the commitment of agricultural innovation systems (AIS) actors through learning, participation and reflection is a prerequisite for capacity development (CD) initiatives. This phase ensures both a common understanding of the process of CD for AIS as well as to create ownership and high-level support by those that head and lead representative bodies of actors within the system.