RESEARCH DIGITAL PLATFORM GIVES RIVERLAND VINEYARDS AN IRRIGATION EDGE SNAPSHOT • VitiVisor is a platform using software and sensors in grape vines to provide more accurate information about crop performance and to optimise irrigation water use • The platform is different in that it brings together technology such as soil moisture monitors and evaporation sensors and links them with other measuring technology such as hyper-spectral imaging, canopy temperature sensors and digital weather stations • The platform enables growers to track and predict how key management actions such as application of water, fertiliser and herbicides and various canopy management strategies relate to vineyard outcomes such as fruit yield and quality.
Software and sensors to help grape growers optimise irrigation use will be the first application of a new digital platform being developed in South Australia. The VitiVisor platform will use lean manufacturing and Industry 4.0 principles* to collect information direct from the vineyard via cameras and sensors and analyse the data to assess vineyard performance. In a first, the software will also offer coordinated advice on management practices such as irrigation, pruning, and fertiliser, fungicide and pesticide applications.
*Industry 4.0 principles refer to principles associated with the fourth industrial revolution, which relies on the merging of real and virtual worlds using cyber-physical production systems. It follows the third industrial revolution, which is based on digital technology to develop smart systems.
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Riverland Wine has partnered with the University of Adelaide and Wine Australia with support from UniSA and Primary Industries and Regions SA (PIRSA) on the $5 million project. The digital system aims to help growers understand precisely what is going on in their vineyard so they can more accurately predict yields while maximising efficiency. VitiVisor brings together researchers in viticulture, engineering, remote sensing, farm economics, water accounting, artificial intelligence, machine learning and robotics, with grapegrowers possessing deep knowledge of vineyard production and processes from the Riverland wine region.
Using artificial intelligence to detect grape bunches and predict yield is being developed as part of the project.
Project brings together grape growers and researchers The project began in 2018 under the leadership of Riverland Wine Executive
Chair Chris Byrne who brought together motivated growers from the region and University of Adelaide researchers to find ways to reduce vineyard production costs. A sixmonth trial followed in 2019 ahead of the project’s expansion. Devices such as moisture monitors and evaporation sensors have been used in vineyards for some time but adapting others to the industry and integrating them through a single platform has not been done previously. Chris said other technologies linked to the platform could include hyperspectral imaging, canopy temperature sensors, digital weather stations and devices for predicting the likelihood of a downy or powdery mildew outbreak. “As Australia’s largest wine-growing region, we have unique needs because of the scale of our operations and market position,” he said of the Riverland. “The pilot project conducted last season indicates there is great potential to provide growers with simplified advice on management practices to bring significant improvements to the bottom line. “This project is a key element of Riverland Wine’s strategic plan, to transition our industry to the new wine era through building members’ knowledge, rebuilding the brand and influencing industry decisions. This technology will empower and enable growers to achieve excellence in all aspects of their wine growing and winemaking.”
Cameras and sensors gather and analyse data In the vineyard, cameras and sensors will collect data and analyse its performance through indicators such as canopy growth, fruit production, sap flow and soil moisture. This will allow growers to track and predict
