Establishing Multi-Model Agricultural Data Science Hub (MM-ADSH)
Climate change, drought, floods are some of the major challenges that agriculture in Ethiopia goes through. Farmers have always had to cope with variables beyond their control, from the weather to the rate of vegetation. In recent years, however, the growth of data science technology has given farmers a new method to help them make sense of all the information they collect to track weather, predict demand changes, to optimize irrigation systems, to increase crop yields, reduce water usage, improve the quality of their products and etc..Dessalew Yohannes Bogale of Jimma University, Ethiopia will establish a Multi-Model Agricultural Data Science Hub (MM-ADSH) to accelerate the uptake of multi-modal agricultural data integration, facilitate knowledge creation and technology development that will enable data-driven solutions for climate adaptation. It is to increase capacities of researchers and innovators through training, and guidance with a particular focus on agricultural data utilization. Moreover, the project team will facilitate networking, engagement and collaboration between stakeholders.
