Development and Optimization of Biomass Cleanliness Image Processing Algorithm
Development and Optimization of Biomass Cleanliness Image Processing Algorithm
批准号:
571121-2021
负责人:
Sheikhzadeh, Mehdi
金额:
$1.82万
依托单位国家:
加拿大
项目类别:
Applied Research and Development Grants - Level 2
财政年份:
2021
资助国家:
加拿大
项目状态:
已结题
起止时间:
2021-01-01 至 2022-12-31
中文摘要
战术通信公司,位于温尼伯马尼托巴,是一家以数字技术为驱动力的公司,通过成功构建、迭代和改进适应性和可扩展的技术基础,创新了其服务产品并开发了新产品。Tactica正在开发一系列技术,这些技术将在农业应用中提供算法图像处理,作为基于云的环境中的服务,用于Web和移动的应用环境。作为第一个实际应用,该公司正在通过使用图像处理算法准确确定大麻和亚麻韧皮纤维的质量,这些纤维将作为生产可再生化学品和纤维的原料。Tactica已成功开发出用于韧皮纤维质量评估测量的算法,并将其集成到现场使用的应用环境中。现在的任务是优化Tactica的生物质纤维清洁度算法,因为清洁度是整体纤维质量的一个重要方面。为了确定技术实现的准确性,需要建立一个可信的基准来验证算法得出的结果。这将通过使用化学和生物分析方法来量化生物质纤维的组成和污染物并将该数据与纤维的视觉外观相关联来实现。缺乏精确的投入是一个机会,在更广泛的趋势,以扩大农业价值链。目前,原始的感官评估是常见的,因为准确的模拟评估需要繁琐、耗时的过程。这导致生产商和加工商都缺乏评估质量的机制,从而为市场价值和更高的利润机会提供信息,包括在利润更高的用例中使用高质量的纤维。Tactica计划进一步探索商业化途径,通过提高谈判能力或确定特定用例的质量阈值,提高质量信息的质量,从而提高生产商和加工商的盈利能力。因此,拟议的研究活动支持Tactica以及其他生物经济私营部门的参与者。
英文摘要
Tactica Communications Inc., located in Winnipeg Manitoba, is an entrepreneurially driven digital technology company that has innovated its service offering and developed new products by successfully building, iterating, and improving an adaptable and extensible technology base. Tactica is developing a set of technologies that will provide algorithmic image processing in agricultural applications as a service from a cloud-based environment for use within both web and mobile application contexts. As a first practical application, the company is working on accurate determination of the quality of hemp and flax bast fibres, destined as a feedstock for the production of renewable chemicals and fibres, through the use of image processing algorithms. Tactica has successfully developed algorithms for quality assessment measurements for bast fibre and has integrated these into application contexts for field use. The task now is to optimize Tactica's algorithm for biomass fibre cleanliness, as cleanliness is an important aspect of overall fibre quality. To determine the accuracy of the technology implementation, a trusted benchmark needs to be established to validate algorithmically derived results against. This will be accomplished by using chemical and biological analytical methods to quantify the composition and contaminants of biomass fibres and correlate this data to the visual appearance of the fibres. The lack of precision inputs is an opportunity within the broader trend to digitize the agricultural value chain. Currently, primitive organoleptic assessments are common as accurate analog assessments require tedious, time-consuming processes. This results in both producers and processors missing mechanisms to assess the quality and therefore inform market value and higher margin opportunities, including the use of high-quality fibre in higher profit use cases. Tactica plans to further explore commercialization paths where an increase in quality information results in higher profitability for producers and processors through increased negotiating power or identification of quality thresholds for specific use cases. Therefore, the proposed research activities support Tactica as well as other bioeconomy private sector participants.
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