The results generated from the model were compared with the data collected from the field as shown in the Figure below.
The number on the horizontal axis corresponds to the cluster number (group of 4, 2 × 2 quads) and the vertical axis shows the
magnitude of biomass in Kg/m2). The green curve shows the field value whereas the blue shows the results from the model.
The red curve indicates the…
Keep Reading →
At the heart of Algasat is our Prediction Pipeline. When you create a job in Algasat, the Prediction Pipeline is run on your satellite image. The pipeline extracts features from your satellite image, transforms these features into a data structure that can be ingested by our machine learning model, and once the model has made a prediction, converts these predictions into a report, including a…
Keep Reading →