A real-time agricultural intelligence platform combining ground sensor data, satellite imagery, geospatial mapping and artificial intelligence to understand what is happening across the farm.
SATFARM-AI is being developed as a decision-support platform for agricultural research and farm management. The system will combine measurements from distributed field sensors with satellite observations and artificial intelligence.
Instead of viewing sensor readings as isolated numbers, SATFARM-AI will transform them into spatial information that can be visualized, analysed and monitored over time.
The future SATFARM-AI application is being designed as an integrated pipeline from field sensing to intelligent agricultural decision support.
Collect real-time soil and environmental measurements from distributed sensor nodes across the farm.
Integrate satellite imagery and geospatial information to provide wider spatial coverage.
Apply statistical and machine-learning models to identify patterns and generate useful agricultural insights.
Visualize spatial variation of farm parameters through an interactive map-based interface.
SATFARM-AI is currently under active development. The different components are being developed and integrated progressively into a single agricultural intelligence platform.
Distributed sensing nodes collect measurements from selected points across the agricultural field.
Sensor data is transmitted to the central platform for storage, processing and visualization.
Ground observations are associated with geographical locations and represented spatially.
Satellite-derived information will provide broader spatial context around measured locations.
Machine-learning models will help interpret farm data and support agricultural decisions.
We are currently building and integrating the hardware, communication infrastructure, cloud platform, mapping interface and AI components that will power SATFARM-AI.
DEVELOPMENT IN PROGRESS