Fusarium Head Blight Detection in Wheat using Digital Imaging

使用数字成像检测小麦赤霉病

• 批准号: 521996-2017
• 负责人: Paliwal, Jitendra
• 金额: $ 1.82万
• 依托单位: University of Manitoba
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640565
• 关键词: Fusarium; Head; Blight; Detection; Wheat

Fusarium head blight (FHB) is a disease of wheat and other cereals, which in Canada is caused by Fusariumgraminearum. The disease causes significant quality and quantity losses in grain, and affects food safety byproducing secondary metabolites, also known as mycotoxins. Over the last three decades, the disease hascaused $1.5 billion in losses to Canadian producers. The incidence of the disease varies from year-to-year andactive monitoring of standing crops is key to developing timely corrective strategies to mitigate losses. Thecurrent method of assessing FHB is for trained crop scouts to manually survey the field. The process is slow,subjective and labour intensive. Farmers Edge, an agricultural data analytics company, has vested interest indeveloping technologies to detect FHB from field images. Therefore, Farmers Edge wants to partner with Dr.Paliwal's research team to develop an imaging method capable of objectively assessing FHB infection levels instanding crops. In the realm of this preliminary study, visible, near-infrared and thermal imaging techniqueswill be evaluated to determine the most effective way of imaging crops at the wheat-breeding nursery in theDepartment of Plant Science (University of Manitoba). Additionally, multivariate classification models will bedeveloped and tested and their suitability in FHB detection will be tested. The outcome of this project will helpour industry partner (i.e. Farmers Edge) by adding FHB detection from field data to the array of services theyprovide to their clients.

赤霉病 (FHB) 是小麦和其他谷物的一种病害，在加拿大是由禾谷镰刀菌引起的。该疾病导致谷物质量和数量显着损失，并通过产生次生代谢物（也称为霉菌毒素）影响食品安全。在过去三十年里，这种疾病给加拿大生产商造成了 15 亿美元的损失。该疾病的发病率每年都有所不同，对未收作物进行积极监测是制定及时纠正策略以减轻损失的关键。目前评估 FHB 的方法是由训练有素的作物侦察员手动调查田地。这个过程缓慢、主观且劳动密集。 Farmers Edge 是一家农业数据分析公司，对开发从田间图像中检测 FHB 的技术感兴趣。因此，Farmers Edge 希望与 Paliwal 博士的研究团队合作，开发一种能够客观评估作物中 FHB 感染水平的成像方法。在这项初步研究领域，将对可见光、近红外和热成像技术进行评估，以确定对植物科学系（马尼托巴大学）小麦育种苗圃中的作物进行成像的最有效方法。此外，还将开发和测试多变量分类模型，并测试其在 FHB 检测中的适用性。该项目的成果将通过将现场数据的 FHB 检测添加到他们向客户提供的一系列服务中来帮助我们的行业合作伙伴（即 Farmers Edge）。