Investment

GRDC Code: UOS2206-009RTX

Next Generation Machine Learning models for 3D soil-mapping applications

This project will build on the underpinning science delivered in UOS2002-002RTX. That project developed machine learning models to soil constraints and PAWC in a small number of environments in specific contexts. This project will further develop, validate, and value-add those models in partnership with leading Australian AgTech business PCT AgCloud. Specifically, the project will: validate them in more environments and scenarios; develop models where no on-farm data exists; develop constraint-limited PAWC maps based on site x crop dynamics; develop improved sampling strategies based on soil constraint maps, PAWC maps, and 'uncertainty' maps; and deliver that information to growers and agronomists through PCT AgCloud mapping products that aid soil management and input decisions. This analytical capability available to other AgTech businesses via application programming interfaces (APIs).

Project start date:

15/06/2022

Project end date:

30/06/2025

Crop type: