Peter White – Joins HSAT

We are pleased to say that Peter White has joined HSAT as our product director. Peter has over 20 years' experience working with complex data sets and successfull...

Predicting Crops – From Brazil to Thailand

Fusing together images from different satellites and using supervised machine learning models enables highly precise information to be obtained about crops. By building an accurate picture of crops, farm by farm, is possible to know exactly what is being grown, across an entire region and plan accordingly.

Predicting Crops and Crop Yields

Predicting crops and crop yields has been tried for centuries. A hundred years ago regression models were used. Now satellite data, combined with machine learning, is used to predict crops. It's only very recently becoming accurate.

Commodities: Solutions to Predicting Crop Yields

Commodities: Crop Predictions Challenges The challenges of predicting crop yields are significant, as outlined in the previous article. Traditionally these challe...