RootDetect: Remote Detection and Precision Management of Root Health

RootDetect：根健康状况远程检测与精准管理

• 批准号: 53706
• 金额: $ 49.87万
• 依托单位: AIRBORNE ROBOTICS LIMITED
• 依托单位国家: 英国
• 项目类别: Feasibility Studies
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=53706
• 关键词: RootDetect; Remote; Detection; Precision; Management

Oilseed rape and canola are two closely related _Brassica_ crops which are widely grown in Europe and Canada, with a market size measured in the tens of billions of US dollars. The oil-rich seeds produced by both crops are consumed in multiple ways, as a source of food (oil with omega 3 fatty acids), animal feed (seed cake as a protein source) and industrial use (such as renewable energy and detergents). Clubroot disease caused by the soil borne root pathogen _Plasmodiophora brassicae_ is threatening production. Disease management depends on early detection of the disease followed by rapid treatment of affected areas of the field with soil products such as lime. However, clubroot disease occurs in patches across the field. Traditional scouting relies on crop walking and clubroot patches can easily be missed in large fields. Furthermore, when clubroot is emerging it rarely causes above-ground symptoms which are visible to the naked eye.The RootDetect project will develop a semi-autonomous remote sensing tool that will efficiently scout large areas and 'see' clubroot symptoms earlier than the grower or agronomist. Affected areas in the field will then be mapped and linked to precision farming technology which will allow targeted treatment of infested patches. This will be cost effective for the grower and will minimise wastage and thus lower carbon emissions.AIRBORNE ROBOTICS will build a specialized UAV prototype for the agricultural environment. ADAS will validate data from the UAV with in-field assessments of clubroot disease and SII Canada will develop the algorithms necessary for machine learning for identification/diagnostics purposes. The product/service enabled by this project will be an integrated, data driven clubroot management tool. This will combine UAV capability with on-farm software which optimises the long- and short-term economics of clubroot management, based on remotely-sensed spatial data. The RootDetect smart tool will be competitively priced to ensure it is accessible to end users and maximise uptake of its use.

油菜和油菜是两种密切相关的芸苔属作物，在欧洲和加拿大广泛种植，市场规模达数百亿美元。这两种作物产生的富含油的种子以多种方式被消费，作为食物来源（含有欧米伽3脂肪酸的油），动物饲料（作为蛋白质来源的种子饼）和工业用途（如可再生能源和洗涤剂）。根肿病是由土传根腐病菌--芸苔根肿病（Plasmodiophora brassicae）引起的一种严重危害作物生产的病害。疾病管理取决于早期发现疾病，然后用石灰等土壤产品迅速处理田间受影响的区域。然而，根肿病发生在整个领域的补丁。传统的侦察依赖于作物行走，在大片田地中很容易错过根状茎。此外，根肿病发生时，很少会出现肉眼可见的地上症状。RootDetect项目将开发一种半自动遥感工具，可以有效地侦察大面积区域，并比种植者或农学家更早地“看到”根肿病症状。然后将绘制受影响的田间地区的地图，并将其与精确农业技术联系起来，从而能够有针对性地处理受虫害的斑块。这对种植者来说将是成本有效的，并将最大限度地减少浪费，从而降低碳排放。AIRBORNE ROBOTICS将为农业环境建造一个专门的无人机原型。ADAS将通过对根肿病的现场评估来验证来自无人机的数据，SII Canada将开发用于识别/诊断目的的机器学习所需的算法。该项目支持的产品/服务将是一个集成的、数据驱动的丛根管理工具。这将把联合收割机的无人机能力与农场软件结合起来，根据遥感空间数据，优化根肿病管理的长期和短期经济效益。RootDetect智能工具的价格将具有竞争力，以确保最终用户可以使用它，并最大限度地提高其使用率。