This chapter presents a definition of 'scaling' and outlines the key elements for success based on the experiences gained from Africa RISING research and dissemination in East and Southern Africa (ESA). Three examples are presented: (a) research and development partnerships; (b) community based scaling through seed systems; and (c) outdoor advertising for orange-fleshed sweet potato. It presents experiences and lessons learned from using these approaches to transfer and scale the technologies.

The Government of India has committed to a national target to increase fish production to 22 million metric

Ghana is one of the world’s leading cocoa producers. Between 1994 and 2018, the area under cocoa production has nearly ripled. This has increased income, but it has also imposed costs. As rainforests have been converted into land for cocoa farming, habitat for species has decreased and become increasingly fragmented in one of the world’s biodiversity hotspots. Rainforest loss also has huge implications for the ability of land to capture carbon and mitigate climate change globally. Expansion of cocoa farming is expected to aggravate these issues further.

Climate change is a growing threat to agricultural production in sub-Saharan Africa, leading to rising poverty and malnutrition. Implementing climate smart agricultural practices at scale will require substantial investments from private and public actors. To understand the impacts of recent investments, challenges and perspectives, this study analyzes agricultural value chain investments in four African countries in the Sahel region: Senegal, Mali, Ethiopia, and Sudan.

Accelerating Impacts of CGIAR Climate Research for Africa (AICCRA) works to facilitate and scale the development of tailored CIS and climate-smart agriculture making it accessible to smallholder farmers in six target countries. However, the costs

Diet quality is a critical determinant of human health and increasingly serves as a key indicator for food system sustainability. However, data on diets are limited, scattered, often project-dependent, and current data collection systems do not support high-frequency or consistent data flows. We piloted in Rwanda a data collection system, powered by the principles of citizen science, to acquire high frequency data on diets. The system was deployed through an unstructured supplementary service data platform, where respondents were invited to answer questions regarding their dietary intake.

Of the world’s 570 million farmers, 72% work on two hectares or less, and women’s labor comprises at least 50% (FAO, 2014). Small farms are responsible for 80% of world food production, making them key to addressing looming global food shortages (Lowder et al., 2016). Small farms in developing countries navigate a myriad of challenges, including access to information, quality inputs, capital, markets, and among others, land (FAO, 2014).

Grassland pastures are crucial for the global food supply through their milk and meat production; hence, forage species monitoring is essential for cattle feed. Therefore, knowledge of pasture above-ground canopy features help understand the crop status. This paper finds how to construct machine learning models to predict above-ground canopy features in Brachiaria pasture from ground truth data (GTD) and remote sensing at larger (satellite data on the cloud) and smaller (unmanned aerial vehicles (UAV)) scales.

Crop fungal diseases constitute a major cause of yield loss. The development of crop disease monitoring and forecasting tools is an important effort to aid farmers in adapting to climate variability and change. Recognizing weather as a main driver of fungal disease outbreaks, this work assesses the climate suitability for wheat blast (Magnaporthe oryzae pathotype Triticum, MoT) development in Asian wheat-producing countries.

Most studies of agricultural transformation document the impact of agricultural income growth on macroeconomic indicators of development. Much less is known about the micro-scale changes within the farming sector that signal a transformation precipitated by agricultural income growth. This study provides a comparative analysis of the patterns of micro-level changes that occur among small-holder farmers in Uganda and Malawi in Sub-Saharan Africa (SSA), and Thailand and Vietnam in Southeast Asia (SEA).

The complexity of agri-food systems demands increasing cross-institutional coordination and collaboration to strengthen science-based decision-making and agricultural planning. Reaching impact at scale requires not only scientific and technical innovations, but a better integration of political, social, economic, health, and environmental considerations through institutional innovations.

Maize cropping systems in Kenya, as is true in many other places in Africa, face multiple biotic and abiotic stressors not least climatic ones. Guided by farmers' priorities, maize breeding programs can contribute to the needed resilience against these changes by developing and mainstreaming new generations of maize varieties adapted to these challenges. Using data from 1,400 farmers and applying a multi-criteria choice analysis, this study reports on smallholder farmers' relative valuation of stress tolerance traits.