Kaggle: Africa Soil Prediction Challenge

Kaggle: Africa Soil Prediction Challenge
29
Aug

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.

Contest: https://www.kaggle.com/c/afsis-soil-properties

AfSIS-Flyer-US