The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.
The mergers of some of the world's largest agribusinesses have led to speculation about what sort of global citizens the new companies will become and whether vulnerable rural populations, especially smallholder men and women farmers, will be negatively impacted. As innovation leaders in the agriculture industry, these new companies will be expected to play key roles in finding solutions for major agricultural challenges facing the world today.
This research delves into the implementation of Good Agricultural Practices (GAP) among seven types of independent smallholders in Rokan Hulu regency, Riau province. The research area consisted of a relative established agricultural area on mineral soils and a relative frontier, mostly on peat. Smallholder types ranged from small local farmers to large farmers who usually reside in urban areas far from their plantation and regard oil palm cultivation as an investment opportunity.
La investigación tuvo como objetivo generar un marco conceptual sobre las temáticas más relevantes y actualizadas de la innovación en la agroindustria. La metodología se fundamentó en una búsqueda sistemática de información que inicialmente permitiera conformar un marco conceptual sobre la innovaciónen agroindustria, hasta llegar a identificar los componentes, tendencias y distintas acciones en el sector agroindustrial.
Food security is predicted toface considerable challenges in the upcoming period. This couldbe more profound in developing countries due to rapid societal change and ecological pressure in theseregions. Concerted efforts to deal with these challenges areof great importance, including accelerating th euse of improved agricultural input technology (IAIT) such as high yield varieties of seeds and improved fertilizer formulas. This type of innovation is more suitable to being introduced amongst developing countries farmers in order to increase their productivity.
This paper highlights important lessons for co-innovation drawn from three ex-post case study innovation projects implemented within three sub-sectors of the primary industry sector in New Zealand. Design/methodology/approach: The characteristics that fostered co-innovation in each innovation project case study were identified from semi-structured interviews conducted with key stakeholders in each project, iterative discussions to confirm the findings and secondary document analysis.
The objective of this research was to scrutinize factors that impeded research-farmer relationship in the context of agricultural innovation system from researchers’ perspective in Ethiopia. The research design used for this study was qualitative research approach. Respondents were interviewed using a snowball sampling technique. Data were collected primarily using in-depth interview, documents and analysed descriptively using the principle of grounded theory.
The paper explores the strength of social networks in the agricultural innovation systems (AISs) in Ghana and the effect of AISs on adoption of improved farm technology. The paper uses social network analysis (SNA) tools to identify, map and analyze the AISs and the two-stage Heckman selection model. Combining qualitative and quantitative methods allows testing the differential effects of social networks on technology adoption in the Ghananian Plantain Sector
In this paper, it is explored the strategic role of Multi-stakeholder processes (MSP) in agricultural innovations and how ithas impacted livelihood assets’(LAs) capital dynamics ofstakeholders in platforms in West Africa.The authors demonstrate how LA capitalsand socio-economic dynamics induced by MSP can enhancecassava production efficiency but also create opportunities andchallenges that influence platform dynamics and impacts. We usea multistage sampling procedure and sustainable livelihoodmodel (e.g.
The analysis of the concept of resilience in supply chain management studies mostly focuses on the downstream side of the value chain and tacitly assumes an unlimited supply of raw materials. This assumption is unreasonable for agricultural value chains, as upstream disruptions clearly have a material impact on the availability of raw materials, and indeed, are a common source of supply problems. This paper aims to present a framework for the operationalisation of the concept of socioecological resilience in agricultural value chains that incorporates upstream activities.