FluroSat: Combining satellite imagery and farm data to predict crop issues

©Tom Fisk/Pexels

This year’s Future of Food Asia winner offers a crop management software that can be used with existing agritech platforms, adding value with machine learning, and is even used for sustainability reporting

Monitoring the state of crops on hundreds of acres of farmland sounds like a formidable task, if not impossible. Yet this is what farmers and agribusinesses demand from agronomists. To give these agronomists a helping hand, Australian startup FluroSat provides a solution, combining satellite imagery and ground data, to anticipate potential crop problems.
FluroSat’s main product, FluroSense, combines data from various sources, including high resolution satellite imagery, weather records and ground-level sensors, into one dashboard and uses agricultural crop models and machine learning to pre...
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