CONTEXT
Big data applications in agriculture evolve fast, as more experience, applications, good practices and computational power become available. Actual solutions to real-life problems are scarce. What characterizes the adoption of big data problems to solutions and to what extent is there a match between them?
OBJECTIVE
We aim to assess the conditions of the adoption of big data technologies in agricultural applications, based on the investigation of twelve real-life practical use cases in the precision agriculture and livestock domain.
METHODS
This report describes the findings of the country study carried out for the design of IFAD project on Restoration of Landscapes and Livelihoods (ROLL P) in Lesotho. Following an IFAD designed project to develop an integrated approach for designing climate-smart and nutrition-sensitive investments, support was provided to undertake a thorough situation analysis for climate, nutrition and their interlinkages and to identify potential pathways and interventions to achieve both climate action and nutrition outcomes.
This report describes the findings of the country study carried out for the design of IFAD Smallholder Agriculture Cluster Project (SACP) in Zimbabwe. Following an IFAD designed project to develop an integrated approach for designing climate-smart and nutrition-sensitive investments, support was provided to undertake a thorough situation analysis for climate, nutrition and their interlinkages and to identify potential pathways and interventions to achieve both climate action and nutrition outcomes.
The publication is a part of the FAO work to assist the member countries in reforming their national Extension and Advisory Services (EAS). It highlights the main elements and provide concrete guidelines for the policy makers to coordinate pluralism in extension and advisory services (EAS), i.e. ensuring that multiple EAS providers from public, private sector and NGOs/donors, provide quality services that contribute to national agricultural priorities and wellbeing of rural producers, collaborate and exchange information to maximise synergies and minimise gaps and duplications.
The COVID-19 pandemic and accompanying responses to mitigate this global health crisis have resulted in substantial disruptions to demand, production, distribution and labor in fisheries, aquaculture and food systems. These disruptions have severely impacted women processors and traders, who play a critical role in the fisheries and aquaculture sectors and associated food systems in sub-Saharan Africa. And yet, COVID related data and responses have tended to be gender-blind or overly representative of men’s experiences and needs in the sector.
This paper discusses innovation in low and middle-income countries, focusing on the role it has played in local and national responses to the COVID-19 pandemic, and the lessons from this effort for how innovation might be harnessed to address wider development and humanitarian challenges by mobilising resources, improving processes, catalysing collaboration and encouraging creative and contextually grounded approaches. The paper also examines how international development and humanitarian organisations can improve their support for local and national innovation efforts.
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.
The problems of agricultural development for small and medium enterprises (SMEs) are considered. The features of modeling business processes in agriculture are analyzed. A financial decision support system is proposed to increase sustainability and reduce risks in the development of agricultural SMEs. The software modules are based on TEO-INVEST.
This brochure presents the five-year TAP-AIS project (2019-2024) funded by the European Union under the DeSIRA Initiative and implemented by the Food and Agriculture Organization (FAO) of the United Nations. The project has the main objective to strengthen capacities to innovate in national agricultural innovation systems (AIS) in the context of climate-relevant, productive, and sustainable transformation of agriculture and food systems in Africa, Latin America, Asia and the Pacific.
Dans de nombreux pays, les décideurs ont besoin d'informations pertinentes sur les systèmes d'innovation agricole (SIA) pour guider la formulation des stratégies et des instruments politiques de soutien à l'innovation.