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

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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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