Meet the winners of the Wazihub Soil Moisture Prediction Challenge

Zindi is excited to announce the winners of the Wazihub Soil Moisture Prediction Challenge. The objective of the competition was to create a machine learning model to predict the humidity for a particular plot in the next few days, using data from the past. A part of the challenge was to design algorithms that are resilient and can be trained with incomplete data (e.g. missing data points) and unclean data (e.g. lots of outliers).

 

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