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AI AND SATELLITES PROVIDE BUSINESS DATA

07-05-2018
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in 

An Australian-first agricultural artificial intelligence software has combined machine learning and high-resolution satellite imagery to provide wine industry insights into vine health.

Geospatial Artificial Intelligence for Agriculture (GAIA) has been developed by Adelaide-based company Consilium Technology. 

GAIA’s machine learning algorithms analyse the latest satellite images to quickly and easily provide detailed insights including assessing the impact of weather-related damage on vineyards.

Growers are expected to have access to GAIA by the next Australian growing season, which begins in September, with plans expand the software into other areas of agriculture beyond viticulture.

The software’s launch follows recent trials at some of Australia’s leading wine regions including Barossa Valley, Margaret River and Tasmania. GAIA’s first test will be to accurately map and identify vineyards in Australian wine regions. 

Director of Machine Learning at Consilium Technology Sebastien Wong, said the technology would help growers increase yields and the quality of their fruit.

He said the software would revolutionise the way small and large growers managed vineyards and also provide a more affordable way to examine vineyard crops.

“GAIA will help improve decision making and reduce risks in farming for growers,” Wong said.

“Farmers have been previously using ABS data survey methods which is hugely expensive.”

Consilium Technology is a research service provider specialising in modelling, simulation and machine learning in various field including defence, minerals and manufacturing.

The software consists of three main components including a deep neural network, scalable cloud computing and advanced satellite imagery to map vineyards across Australia and monitor wine grape crops in real time.

“We saw agriculture as a real opportunity… there’s a huge amount we can do here,” Wong said.

“It’s the AI that’s the groundbreaking aspect of GAIA. By automating it we can do things at scale.”

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