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).