17th July 2020
A client needed to monitor crops for risk of disease and drought/poor irrigation on a national scale; the client needed weekly updates on the risks to crops and production. The scale of the fields and the land overall meant it was not possible to check all of the fields every day manually. Even with drones, it would have been cost-prohibitive, costing tens of millions. For this reason, we built a solution that looked at every 10m of land every week, across the entire country and used machine learning, based on billions of data points, to detect disease.