Collecting farm data is the first step in creating a Farm Digital Twin.
FARM-DT gathers important information about the physical farm from multiple sources, creating a reliable digital picture of what is happening on the ground.
We gather data from farms, sensors, satellite imagery, weather systems, and farm records to create a clear and accurate understanding of farm conditions, activities, and performance.
Once farm data has been collected, FARM-DT transforms it into a digital representation of the real farm.
We transform collected farm data into a dynamic digital model of the real farm, creating a connected virtual representation that reflects the farm’s structure, conditions, and activities.
We monitor farm conditions and analyse data from crops, soil, weather, irrigation, and operations to identify changes, detect risks, and generate insights for better farm management.