Precision farming enables agricultural management decisions to be tailored spatially and temporally. Site-specific sensing, sampling, and managing allow farmers to treat a field as a heterogeneous entity. Through targeted use of in- puts, precision farming reduces waste, thereby cutting both private variable costs and the environmental costs such as those of agrichemical residuals. At present, large farms in developed countries are the main adopters of pre- cision farming.
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.
Agricultural biotechnology and, specifically, the development of genetically modified (GM) crops have been controversial for several reasons, including concerns that the technology poses potential negative environmental or health effects, that the technology would lead to the (further) corporatization of agriculture, and that it is simply unethical to manipulate life in the laboratory. GM crops have been part of the agricultural landscape for more than 15 years and have now been adopted on more than 170 million hectares (ha) in both developed countries (48%) and developing countries (52%).
International agricultural research is often motivated by the potential benefits it could bring to smallholder farmers in developing countries. A recent experimental literature has emerged on why innovations resulting from such research, which often focuses on yield enhancement, fail to be adopted due to either external or internal constraints. This article reviews this literature, focusing on the traits of the different technologies and their complexity and distinguishing between yield-enhancing, variance-reducing, and water- or labor-reducing technologies.
Food systems contribute 19%–29% of global anthropogenic greenhouse gas (GHG) emissions, releasing 9,800–16,900 megatonnes of carbon dioxide equivalent (MtCO2e) in 2008. Agricultural production, including indirect emissions associated with land-cover change, contributes 80%–86% of total food system emissions, with significant regional variation. The impacts of global climate change on food systems are expected to be widespread, complex, geographically and temporally variable, and profoundly influenced by socioeconomic conditions.
This flyer is about the AgriFood chain toolkit, which has been launched in 2013 by the CGIAR programme on Policies, institutions and markets.The AgriFood chain toolkit acts as a clearing house and learning platform – using the power of information and communication technologies to bring together people and resources.
The CGIAR Research Program on Integrated System for the Humid Tropics, or Humidtropics, works towards transforming the lives of the rural poor in several action sites in Asia, Africa and Tropical America. In doing so, different technologies and innovations were implemented and while at first the capacity development was going on almost intuitively, as an integrated part of the implementation process, it has soon become clear that such groundbreaking activities and ideas require a more organized and supervised approach.
The gender strategy of the CGIAR Research Program on Livestock and Fish highlights the key role of gender analysis in livestock value chain research and guides the integration and implementation of related research activities. The Program’s gender team has produced a gender capacity assessment tool to evaluate existing skills and gaps in partners’ gender capacities and identify measures to address them. In 2015, the tool was implemented in four L&F value chain countries (Ethiopia, Nicaragua, Tanzania and Uganda).
The LIVES project works to increase adoption of value chain interventions through use of improved knowledge and capacity by value chain actors and service providers. Knowledge management and capacity development are important components of the project to fill gaps in knowledge and capacity of value chain actors and service providers. Capacity is defined as the capabilities (knowledge, skills, experience, values, motivations, organizational processes, and linkages) that determine how well value chain actors and service providers utilize resources, market opportunities, and relationships.
The Livestock and Irrigation Value Chains for Ethiopian Smallholders (LIVES) project supports the efforts of the GoE to transform the smallholder agriculture sector to a more market-oriented sector. LIVES uses a value chain framework to develop targeted livestock and irrigated agriculture commodities through integrated technical and institutional innovations. Such a framework recognizes that value chain actors add value at different stages of the value chain and that individuals and organizations provide inputs and services to the value chain actors.