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Digiscape’s work ‘returns’ to CSIRO

CSIRO’s Digiscape Future Science Platform is now complete. Digiscape supported next generation decision making to help transform agricultural industries and environmental action – work that continues across CSIRO.

Future science teamwork yields unique international collaboration

Digiscape has been working with CSIRO's Responsible Innovation Future Science Platform and AgResearch on a new area of study: how might responsible innovation practices apply to digital agricultural technologies? (20 May 2022)

Science Wednesday: digital shrimp

A new overview paper in Experimental Aquaculture and a 9-minute video give an overview of how Digiscape's digital technologies for prawn aquaculture are "all about the workflow" (2 Mar 2022)

Artificial intelligence, machine learning and deep learning: what can they do for agriculture?

How can artificial intelligence help agriculture and farming? Trust, accurate data and making decisions and predictions once never dreamed of will inspire innovation in ag. Read the article in ECOS. (14 Feb 2022)

Science Wednesday: visualizing uncertainties across space

User demand to understand the uncertainty in agritech predictions can only increase. This Wednesday's's paper describes Vizumap, an R package for displaying spatial predictions in tandem with their uncertainties (1 Dec 2021)

Science Wednesday: provenance for scientific workflows

"Explainable" is an adjective that needs to apply to all our predictions, not just to AI. In this 9-minute talk, CSIRO Early Career Fellow Anila Butt describes a system for capturing the provenance of computations (27 Oct 2021)

Science Wednesday: digitalisation in agricultural knowledge and advice

A literature review by Simon Fielke & colleagues concludes that landholders are concerned that digital knowledge should be  transparent; private advisors that it be highly connected; and public advisory services that it should be well-governed (20 Oct 2021)

Science Wednesday: roll the Dice for change detection

Three Digiscape alumni have developed a new deep learning framework for semantic change detection from high-resolution remote-sensing imagery (6 Oct 2021)

‘Cows in pain, thirsty peaches, stressed tomatoes: how tech’s helping nature talk to farmers’

Article by Dani Valent, Sydney Morning Herald, 5 June 2021