Australian vine health tech set to scale

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September 15 – An innovative smartphone app developed in Australia that uses artificial intelligence to help winemakers easily diagnose nutritional disorders in vineyards is set to expand following a new marketing deal.

The prototype application that evaluates vine leaf symptom images captured using a standard smartphone camera was developed by a team of grape growers, plant physiologists and machine learning specialists using a research partnership between the NSW Department of Primary Industries (NSW DPI) and Charles Sturt University with funding. of Wine Australia.

Global agtech start-up Deep Planet has licensed the technology exclusively to add to its capabilities and commercialize the technology for the benefit of grape and wine growers.

Deep Planet CEO David Carter is excited to embrace the technology and add it to the suite of viticulture remote sensing, monitoring and prediction capabilities offered by their leading VineSignal platform. Of the industry.

“We’ve worked closely with a number of Australian growers to help them manage the health, irrigation, yield and maturity of their vines using satellite imagery combined with our machine learning and analytics capabilities. ‘IA. Adding and enhancing this technology as a convenient tool for field nutrition monitoring is an obvious next step to improving the impact we can deliver to our customers,” Carter said.

Grapevine nutrition is a significant cost to running a vineyard, and if not managed properly, yield and quality can suffer. The prototype application was developed as a technical solution to help winegrowers deal with the confusion of symptoms of vine nutritional disorders.

Charles Sturt Pro Vice-Chancellor (Research and Innovation), Professor Michael Friend, said image analysis experts at the University, including Associate Professor Lihong Zeng and Professor Manoranjan Paul, have been working with researchers of NSW DPI to develop disease image libraries for AI assessment of vines in the field.

“The app’s detection and diagnostic capability works through image analysis algorithms developed by the team and allows users to quickly identify nutrient deficiencies in the vine and access corrective actions. depending on the diagnosis,” Prof Friend said.

NSW DPI deputy chief executive Dr Adrian Zammit said commercializing research through agreements between government, industry and business can help farmers meet practical challenges.

“It is encouraging to see these research organizations working with a global agricultural technology company and together recognizing the value of this key collaborative research project,” said Dr Zammit.

“NSW DPI is committed to understanding and researching the challenges of our agricultural sector and ultimately delivering practical results that add capability and competitiveness to the farm.”

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