Yeniu will be speaking in Session 5. Fresh Science A. Click here to see more.
Abstract
Grapevine viral diseases have a negative impact on vine health, productivity, and grape quality, which lead to significant economic loss. To manage the diseases, accurately detecting the infected vine is essential. Lab-based molecular testing is the gold standard for providing reliable and accurate diagnostics; however, these tests are expensive, time-consuming and labour-intensive. Recent advances in optical remote sensing like airborne hyperspectral images offer tremendous potential for non-destructive diagnostics of plant viral diseases even before the disease shows any visual symptoms, e.g., leafroll and shiraz diseases do not show symptoms in white varieties. This study used a drone-mounted hyperspectral camera to detect grapevine viral disease in the field, which brings a fast and reliable way to detect diseases at large spatial scales. Using this method, we can detect Grapevine leafroll disease and Shiraz disease in major red and white varieties.
This presentation will include a general introduction to diseases and technology. Then the methods for data processing, disease modelling, validation, and outcome.
Biography
Mickey Wang is a PhD candidate from the University of Adelaide. He obtained the Master of Agricultural Science Degree from the University of Sydney in 2009, with a focus on plant science. Mickey worked in various agricultural and horticultural sectors over the last ten years. In 2010, he started work in a fully automated vegetable nursery as a technical officer in charge of water and the mix quality and monitoring plant health. Mickey was involved in a soil amendment research project in NSW DPI as a technical officer in 2013. The project aimed to assess the benefits and risks of applying the compost made from municipal waste to farmlands. Mickey started work for SARDI in 2016 as a technical officer, involved in various research projects, including water stress detection in grapevine and irrigation trials for almond orchards.
Mickey is passionate about remote sensing, UVA (drones), and optical sensing technology. He believes the technologies have great potential for crop surveillance. In 2019, Mickey started his PhD study, looking at applying high-resolution remote sensing hyperspectral images for grapevine virus disease detection.