Green Atlas is an agricultural services company that assists tree-crop growers in managing the lifecycle of every fruit on every tree in their orchard. This is a particularly challenging problem given the density of commercially grown tree-crops; as that information typically needs to be collected at tree-level (not from overhead); and because many fruits are managed ‘to target’, tailoring inputs and operations to the needs of each tree.

To achieve the specificity required for tree-level crop management at the speed and price-point required by growers, Green Atlas has taken a novel approach to data gathering and processing, which involves using cameras and LiDAR mounted to a ground vehicle to scan crops at high speed with high reliability and repeatability. Its patent-pending technology is unique and field proven.

Founded in 2018, the company has worked in Apples, Almonds, Cherries, Kiwifruit and Wine Grapes across the spectrum of fruit lifecycle, from flowering to mature fruit, and in the case of almonds, post-harvest to map ‘mummified’ nuts left on the trees. The company has operated in New South Wales, Victoria, Western Australia, South Australia, New Zealand and California, with more than 35,000 hectares (~86,000 acres) scanned!

Green Atlas leverages a decade of world-leading University research in the application of Artificial Intelligence (AI) and Machine Learning (ML) to tree crops, and is proud to be continuing its close and extensive collaborations with Universities, industry peak bodies, and government departments to test and develop its products for further industry benefit.


  • Address
    9/111 McEvoy St

    Alexandria
    2015
  • Country of origin
    Australia
  • Key Contact
    Steve Scheding
  • Phone Number
    +61412414850
  • Year Established
    July 2018
  • Awards/recognition

    Forneau Trophy for Innovation in Horticulture (Hawkes Bay Growers Association)

  • Supported Regions

    NSW QLD SA VIC WA

  • Data ownership policy

    Customer granted exclusive royalty free licence to data deliverables.

  • Data privacy and security policy

    Standard data and customer privacy protections.

Terms and conditions apply. Please refer to our legal statement .