Local Project

Nigeria is among those hardest hit by climate change. According to research, the largest population of Nigeria depends largely on agriculture with climatic change, floods, and droughts being the most serious environmental threat causing hunger, disease, malnutrition, and poverty. At a time in Nigeria where the prices and availability of food commodities are scarce and highly costly, we need to need to produce more with the little available resources; AI could help to transform agriculture in Nigeria hence, the world at large. Hence, in this challenge, we will work on building agricultural models to help actors better think, predict, and advise farmers via a variety of AI applications that presents Nigeria with the potential to achieve food security in the country.  
With the help of technology, farmers should be able to predict when, where, and what is the climatic condition will be in Nigeria for the next farming season while promoting a data-driven agricultural system. Data such as soil PH, temperature, and moisture levels, combined with other data sources from World Bank’s data portal and Nigerian Metrological Agency could be processed to show exactly when and where farmers should add water or fertilizer, and to know the best crop type to be planted on the soil. The data will also help to decide where to invest, and help strengthen the understanding of crop losses while maximizing revenues and minimizing losses.