Attend this session to learn about how Big Data Analytics is informing decisions on the development activities of Smallholder poultry in Ethiopia, Nigeria, and Tanzania.
Farmers are constantly exposed to various climatic and environmental factors that limit the productivity of their farms, threaten household livelihoods and food security. Improving the performance and productivity of smallholdings through climate-smart practices require prediction, made possible by harnessing the huge data resources from mobile phones, satellites, and terrestrial statistics. The process of capturing huge amounts of data, their cleaning and analysis, and integration into appropriate predictive models must be dynamic, real-time, and specific to the prevailing agro-ecological and climatic conditions.
The establishment of an innovation platform and adoption of a farmer-first approach can mitigate potential challenges, and allay fears associated with Big Data. Development partners and non-governmental organisations should deploy Big Data towards the design and implementation of their intervention programmes. These ideas are illustrated by data collected in the African Chicken Genetic Gains Project through a baseline survey of 1,200 households and on-farm testing of six tropically adapted and more productive chicken breeds in 2100 households in Nigeria.