Posts by Andrew Moore

Science Wednesday: frost, food and satellites

Dr Randall Donohue & team are working toward monitoring the extent and intensity of frosts, by combining non-traditional satellite data with analytics to get us from coarse pixels to paddock scale (29 Sep 2021)

Science Wednesday: Reputational risks from big data R&D

Four Digiscape early-career researchers come together to review the risks that come along with the opportunities of digital innovation (22 Sep 2021)

Science Wednesday: new ways of seeing Australia’s sugarlands

CSIRO's Digiscape Future Science Platform has successfully released a series of agritech/landtech products; but at the same time we've been […]

Publications Wednesday: Machine learning approaches to improve and predict water quality data

The harsh reality of Agriculture 4.0 is that sensors have downtime. So how do we make sense of the times when sensor data has gaps? Digiscape's Dr Yi-fan Zhang has published a new approach to solving this problem. (1 April 2020)

Publications Thursday: Needles in the crop mapping haystack

We've developed methods for improving the mapping accuracy of rare crops in Australia. (13 Feb 2020)

Publications Thursday: vertical farms bear fruit

Cathryn O’Sullivan and colleagues make 4 important points about how to expand urban farming beyond growing leafy vegetables (30 Jan 2020)

1622-WQ app launched: water quality monitoring in the Great Barrier Reef hinterland

In a world first, sugarcane farmers in far north Queensland have a new app that will help them manage fertiliser use and so reduce nitrogen runoff onto the Great Barrier Reef. (21 Jan 2020)

Publications Wednesday: social science & digital agriculture

Dr Emma Jakku, leader of Digiscape's Social Dimensions project, has joined with Laurens Klerkx of Wageningen University and Pierre Labarthe of INRA to edit a special issue of NJAS - Wageningen Journal of Life Sciences exploring social and institutional responses to digital agriculture (21 Jan 2020)

Publications Wednesday: even better grain yield forecasts

A new publication shows that using semi-empirical crop stress indices can measurably improve the accuracy of the C-Crop grain yield forecasting model (15 Jan 2020)

Congratulations to Di He, Digiscape Postdoctoral Fellow

Digiscape Post Doctoral Fellow Dr Di He has been awarded the prestigious John Philip Award for the Promotion of Excellence in Young Scientists. (27 November 2018)