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Kaggle: Africa Soil Prediction Challenge

Kaggle: Africa Soil Prediction Challenge

Calling all data scientists! We’ve just launched a new competition on Kaggle: The Africa Soil Property Prediction Challenge. The problem is to predict the concentrations of Calcium, Phosphorus, pH level, Carbon, and Sand in the soils of Africa, given mid-infrared spectroscopy measurements. Winners will not only be awarded with cash prizes, but also have real impact toward improving ecological planning and agricultural productivity in Africa. Top-performing algorithms will be incorporated into machine learning workflows used by the Africa Soil Information Service (AfSIS), a non-profit organization for which QED has been assisting with the development of scientific computing software. We invite you to participate in this unique opportunity to develop cutting-edge technology for a worthy humanitarian cause.



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