People, places, and production contributing the least to climate change will suffer the most. This calls for adaptation as a key climate change response. But adaptation is surrounded by problems. Finance is uncertain and fragmented, mainstreaming into development is complicated, and technical solutions often overshadow existing social relations and institutions.
As many sub-Saharan African countries have committed to the continent-wide goals of the Comprehensive African Agriculture Development Programme (CAADP) of the Africa Union and New Partnership for Africa’s Development (NEPAD), policymakers are challenged with designing and implementing national agricultutal strategies and policies that will allow them to achieve these goals.
The implementation and ongoing adoption of agricultural sustainability tools are challenging and not well addressed in the literature on sustainability assessment. Co-production of sustainability assessment and reporting systems between researchers and stakeholders has been promoted to increase the successful adoption of sustainability tools. Scientific attention has focused primarily on the development of sustainability assessment tools and has given less attention to the factors that encourage or discourage adoption and implementation.
The rural production in Brazil has experienced a significant competitive impact with the stabilization of the economy promoted by the Real Plan in 1994. Indeed, the Brazilian agriculture has achieved efficiency gains in terms of technology, economies of scale and general modernization of the activity in the field. In this context, the professional management of rural production evolved. However, the governance process does not evolve in the same dimension, and the “governance risk” is still poorly addressed in the rural environment, which often limits the potential of operations.
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.
CCAFS-MOT is a tool to support farmers, policy advisors and agricultural extension services on the choice of management practices that reduce greenhouse gas emissions (GHG) without risking food security. It is an Excel-based tool which brings together several empirical models to estimate GHG emissions in rice, cropland and livestock systems, and provides information about the most effective mitigation options. Greenhouse gas emissions are estimated in terms of carbon dioxide equivalent per hectare (kg CO2eq ha− 1) and carbon dioxide equivalent per unit of product (kg CO2eq kg− 1).
In Vietnam, while glutinous rice farming represents a very small sub-sector of rice production, it plays an important role in the food and cultural security of farming households in many remote areas. This paper examined glutinous rice farming in households, as a food and for cultural security, and the extension services in areas producing glutinous rice. Data were collected from 400 local farmers based on interview schedules and statistical analysis using the percentage, arithmetic mean, and hypothesis testing with logistic regression
This brochure presents startup profiles, an incubatee coffee table book which captures the brief profile of agriculture startups being incubated at a-IDEA, the Technology Business Incubator of National Academy of Agricultural Research Management (ICAR-NAARM) supported by Department of Science & Technology of India. The incubation centre at NAARM is providing a conducive environment for growth of startups in agriculture.
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.
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).