GINGER 
Published: 1 Aug 2019
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DownloadPests and diseases pose a significant production concern to most ginger growers and are a constant threat to yields. Fusarium, in particular, is a key threat to seed ginger stock, as it can be spread through soil from infected plant material. Identification and removal of diseased seed stock is currently performed manually and is a major production cost.
The preparation of disease-free seed ginger takes place over three months and is a labour-intensive process (e.g. production of 400t requires about 20 people full-time for 12 weeks per year). Additionally, the nature of the process requires operators to stand for long periods of time while visually inspecting and preparing the seed stock.
This project aims to develop and demonstrate an automated vision system that is capable of robustly identifying signs of Fusarium in seed ginger stock.
The primary objective of the Identifying revenue opportunities for AgriFutures Australia’s rural industries project was to identify potential new and alternate revenue sources within 28...
This blueprint serves as a resource for those interested in the ginger industry provides essential fast facts alongside the fundamental themes highlighted in the AgriFutures...
The AgriFutures Ginger Program invests in research, development and extension (RD&E) that improves the productivity, profitability and sustainability of the Australian ginger industry. The Australian...
The AgriFutures Ginger Program invests in research, development and extension (RD&E) to support a sustainable, growing and prosperous ginger industry that supplies product of the...
This research addresses the critical need to better manage ginger for Australian pests and diseases (e.g., Fusarium yellows, Pythium soft rot, and Root-knot nematodes) and...
The commercial ginger industry in Australia is based on only two edible ginger cultivars, which are both susceptible to soil borne fungal pathogens, this puts...
The project will also help improve the adoption of improved planting material and enhanced pre and post-harvest management practices. It will provide support and maintenance...
This project aims to improve weed control for ginger growers, using artificial intelligence for weed detection, precision herbicide delivery and an evaluation of alternative weed...
