Intelligent CropSense

Smart farming technologies greatly improve crop management and productivity, but adoption faces challenges such as inaccurate sensor readings caused by noise or sensor drift, high costs, data privacy worries, limited computing resources, and poor rural infrastructure.

To address these issues, the intelligent CropSense system uses federated learning – a collaborative method allowing sensors to self-correct by learning from patterns of other sensors without accessing their raw data. This innovative and scalable approach helps farmers efficiently adopt smart agriculture, enabling better crop monitoring, increased yields, and sustainable farming practices, ultimately making agriculture smarter, more affordable, and widely accessible.

Want to learn more or chat with the team? Reach out to Intelligent CropSense’ s team leader, Shaleeza Sohail via shaleeza.sohail@newcastle.edu.au

If you would like an introduction – we’re here to help! Contact the ON team via on@csiro.au