{"id":17818,"date":"2024-10-23T09:00:47","date_gmt":"2024-10-22T23:00:47","guid":{"rendered":"https:\/\/testblogs.griffith.edu.au\/library\/?p=17818"},"modified":"2024-10-21T12:01:27","modified_gmt":"2024-10-21T02:01:27","slug":"open-access-week-the-importance-of-sharing-data-griffiths-work-on-sugar-cane-disease-detection","status":"publish","type":"post","link":"https:\/\/testblogs.griffith.edu.au\/library\/2024\/10\/23\/open-access-week-the-importance-of-sharing-data-griffiths-work-on-sugar-cane-disease-detection\/","title":{"rendered":"Open Access Week – The importance of sharing data: Griffith’s work on sugar cane disease detection"},"content":{"rendered":"

This International Open Access week the Library is highlighting the University\u2019s ongoing efforts in supporting open scholarship and knowledge sharing.\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

Open data and the <\/span>FAIR<\/span><\/a> principles (Findable, Accessible, Interoperable and Reusable) bring significant benefits to researchers, practitioners, industry and the public. When research data is accessible, it democratises information, reduces costs, minimises duplication, enhances research transparency and opens doors to innovation.<\/span>\u00a0<\/span><\/p>\n

Today, we\u2019re highlighting Griffith University\u2019s research on sugar cane diseases, where researchers have made their data openly available to benefit the community.<\/span>\u00a0<\/span><\/p>\n

Why sugar cane matters<\/span><\/b>\u00a0<\/span><\/p>\n

\"sugar
James De Mers Pixabay<\/figcaption><\/figure>\n

Sugar cane is a vital industry in Queensland and Australia, supporting jobs, businesses and, of course, satisfying our sweet tooth! However, diseases like sugarcane smut pose serious threats to this industry. If left unchecked, sugarcane smut can lead to production losses between 30% and 100%. Early detection is crucial since this disease is difficult to spot in its initial stages.<\/span>\u00a0<\/span><\/p>\n

To address this challenge, <\/span>Professor Jun Zhou<\/span><\/a>, PhD candidate Dong Bau and their team developed a method using hyperspectral imaging to automatically detect the early symptoms of sugarcane smut.<\/span>\u00a0<\/span><\/p>\n

Why share the data?<\/span><\/b>\u00a0<\/span><\/p>\n

We asked Professor Zhou about the significance of sharing this research data:<\/span>\u00a0<\/span><\/p>\n

\u2018To our knowledge, this is the first open access, large-scale hyperspectral image dataset for sugarcane disease detection. Building this dataset required access to specialised equipment, knowledge in hyperspectral imaging machine learning, and facilities for growing and monitoring sugarcane diseases\u2019…<\/span><\/em>\u00a0<\/span><\/p>\n

Meeting these requirements was a significant effort from Griffith and <\/span><\/i>Sugar Research Australia<\/span><\/i><\/a> (SRA). The goals for sharing the data are to:<\/span><\/i>\u00a0<\/span><\/p>\n