Many smallholder farmers in developing countries grow multiple crop species on their farms, maintaining de facto crop diversity. Rarely do agricultural development strategies consider this crop diversity as an entry point for fostering agricultural innovation. This paper presents a case study, from an agricultural research-for-development project in northern Ghana, which examines the relationship between crop diversity and self-consumption of food crops, and cash income from crops sold by smallholder farmers in the target areas.
There are very few published literature sources that focus on the potential benefits of m-Agri services in Africa and none of which explore their sustainability. This study, therefore, explores the evolution, provision, and sustainability of these m-Agri services in Africa. An overview of the current landscape of m-Agri services in Africa is provided and this illustrates how varied these services are in design, content, and quality.
Agricultural mechanization in developing countries has taken at least two contested innovation pathways—the “incumbent trajectory” that promotes industrial agriculture, and an “alternative pathway” that supports small-scale mechanization for sustainable development of hillside farming systems.
Food literacy among children and youth is configured by two knowledge domains: an informal community-based knowledge, and a formal curriculum-based knowledge. This paper examines how these two domains contribute to food literacy and strengthen food security among rural youth in Nepal. In consultation with schoolteachers and local farmers, a knowledge test was developed and administered to 226 high school students. Scores were collected on agro-ecological, cultivation and consumption-related knowledge on a locally grown staple crop, as contributor to food literacy
European agriculture is facing increasing economic, environmental, institutional, and social challenges, from changes in demographic trends to the effects of climate change. In this context of high instability, the agricultural sector in Europe needs to improve its resilience and sustainability. Local assessments and strategies at the farming system level are needed, and this paper focuses on a hazelnut farming system in central Italy. For the assessment, a participatory approach was used, based on a stakeholder workshop.
This paper explores possible pathways for different types of farmers, considering where they might be in the future, beyond 2030 and the era of the SDGs. It outlines some of the necessary interventions, risks and trade-offs associated with these different pathways, for farmers operating in a variety of agricultural systems globally, including cropping, livestock and tree (silvopasture) systems. It also considers the impacts of different disruption scenarios that could radically alter anticipated pathways and offers a range of possible interventions.
This study developed a model called the Indonesian Palm Oil Simulation (IPOS). This aims to understand the value chain of the palm oil industry. It provides options for policymakers and decision-makers about possible futures for the Indonesian palm oil industry at the national level.
Within agricultural innovation systems (AIS), various stakeholder groups inevitably interpret ‘innovation’ from their own vantage point of privilege and power. In rural developing areas where small-scale and subsistence farming systems support livelihoods, dominant policy actors often focus heavily on participatory modernization and commercialization initiatives to enhance productivity, access, and quality. However, existing social hierarchies may undermine the potential of such initiatives to promote inclusive and sustainable farmer-driven innovation.
The agricultural Internet of Things (Ag-IoT) paradigm has tremendouspotential in transparent integration of underground soil sensing, farm machinery,and sensor-guided irrigation systems with the complex social network of growers,agronomists, crop consultants, and advisors. The aim of the IoT in agriculturalinnovation and security chapter is to present agricultural IoT research and paradigmto promote sustainable production of safe, healthy, and profitable crop and animalagricultural products.
Understanding eco-innovation is an essential endeavor to achieve global sustainable development. In this sense, further research on implementation is needed to expand knowledge beyond current boundaries. The aim of this paper is to contribute to this debate by conducting an original multidimensional analysis using Spanish agri-food sector data. The empirical methodology applies a combination of descriptive statistics, cluster analysis and the chi-squared test.