Integrating image characterization of fish behaviour with water quality monitoring to support of fish health
将鱼类行为的图像特征与水质监测相结合以支持鱼类健康
基本信息
- 批准号:507248-2016
- 负责人:
- 金额:$ 1.8万
- 依托单位:
- 依托单位国家:加拿大
- 项目类别:Engage Grants Program
- 财政年份:2016
- 资助国家:加拿大
- 起止时间:2016-01-01 至 2017-12-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Aquaculture has grown into an $800M/yr industry in Canada. The majority of fish farms are found in the coastal regions where sea cages can reduce operational costs; yet, the environmental footprint can be high with issues related to sea lice prevalence, nutrient concentration, and escapees influencing genetic integrity of natural stocks. Myera Group is developing inland, recirculating aquaculture systems to ultimately realize a full-scale recirculating Arctic Char aquaculture business in Manitoba that has a minimal environmental footprint and can be operated in remote regions. Arctic Char is a key traditional subsistence species and an important source of income to the Inuit of Canada. Arctic Char raised in closed-tank recirculating systems have minimal impact on local environments. It has received significant attention as a potential species for Canadian commercial aquaculture. In any aquaculture system, fish are vulnerable to risks including improper gas, waste, nutrient, or pH balances in the water, temperatures that are too warm/too cold, or diseases. Because of the high stocking densities used in indoor aquaculture, problems can quickly escalate threaten significant numbers of fish. Thus, Myera wants to pursue a system for fish behaviour monitoring. The Fish Monitoring project will design and develop a prototype hardware & software system that integrates water quality monitoring of five parameters (pH, oxygen reduction potential, dissolved oxygen, conductivity, and temperature) with fish condition monitoring of three parameters (fish count, swim velocity, and orientation (belly up/belly down)). The system will integrate and report data in near-real time. Algorithms will be developed to correlate fish behaviours to water quality to better understand fish response to various environmental conditions and fish health, and to mitigate risk of fish loss through early detection. Myera's goal is to realise a full scale recirculating aquaculture business in Manitoba with tanks supporting better fish outcomes than existing systems and with minimal environmental footprint. This will enhance economic development and provide an important self-sustainable source of food for remote northern communities.
在加拿大,水产养殖业已成长为每年8亿美元的产业。大多数养鱼场位于沿海地区,在那里,海水网箱可以降低作业成本;然而,由于海虱流行、营养集中和逃逸影响自然种群遗传完整性的问题,环境足迹可能很高。迈埃拉集团正在开发内陆循环水产养殖系统,以最终在马尼托巴省实现全面的北极炭循环水产养殖业务,该业务的环境足迹最小,可以在偏远地区运营。北极炭是一种关键的传统生存物种,也是加拿大因纽特人的重要收入来源。在密闭水箱循环系统中增加的北极焦炭对当地环境的影响最小。作为加拿大商业水产养殖的潜在物种,它受到了极大的关注。在任何水产养殖系统中,鱼类都容易受到风险的影响,包括水中气体、废物、营养或pH平衡不当、温度过热/过冷或疾病。由于室内水产养殖中使用的高放养密度,问题可能会迅速升级,威胁到大量鱼类。因此,迈拉想要建立一个鱼类行为监测系统。鱼类监测项目将设计和开发一个原型硬件和软件系统,将五个参数(pH、氧还原电位、溶解氧、电导率和温度)的水质监测与三个参数(鱼的数量、游泳速度和方向(腹部向上/腹部向下))的鱼类状况监测相结合。该系统将近乎实时地整合和报告数据。将开发算法,将鱼类行为与水质联系起来,以更好地了解鱼类对各种环境条件和鱼类健康的反应,并通过及早发现来减少鱼类损失的风险。迈拉的目标是在马尼托巴省实现全面的循环水产养殖业务,用水箱支持比现有系统更好的鱼类结果,并将环境足迹降至最低。这将促进经济发展,并为偏远的北方社区提供重要的自给自足的食物来源。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Friesen, Marcia其他文献
Usability Testing of a Web-Based Empathy Training Portal: Mixed Methods Study.
- DOI:
10.2196/41222 - 发表时间:
2023-04-04 - 期刊:
- 影响因子:2.2
- 作者:
Lobchuk, Michelle;Hoplock, Lisa;Harder, Nicole;Friesen, Marcia;Rempel, Julie;Bathi, Prachotan Reddy - 通讯作者:
Bathi, Prachotan Reddy
Friesen, Marcia的其他文献
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{{ truncateString('Friesen, Marcia', 18)}}的其他基金
Machine learning approaches to image analysis
图像分析的机器学习方法
- 批准号:
RGPIN-2018-04962 - 财政年份:2022
- 资助金额:
$ 1.8万 - 项目类别:
Discovery Grants Program - Individual
Machine learning approaches to image analysis
图像分析的机器学习方法
- 批准号:
RGPIN-2018-04962 - 财政年份:2021
- 资助金额:
$ 1.8万 - 项目类别:
Discovery Grants Program - Individual
Developing algorithms that use individual mobility data to support tracking and contact tracing of SARS-CoV-2 causing COVID-19 and future pandemics
开发使用个人移动数据的算法来支持对导致 COVID-19 和未来大流行的 SARS-CoV-2 进行追踪和接触者追踪
- 批准号:
552682-2020 - 财政年份:2020
- 资助金额:
$ 1.8万 - 项目类别:
Alliance Grants
NSERC Chair in Design Engineering for sustainable development and enhanced design integration
NSERC 可持续发展和增强设计集成设计工程主席
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524240-2017 - 财政年份:2020
- 资助金额:
$ 1.8万 - 项目类别:
Chairs in Design Engineering - Research
Machine learning approaches to image analysis
图像分析的机器学习方法
- 批准号:
RGPIN-2018-04962 - 财政年份:2020
- 资助金额:
$ 1.8万 - 项目类别:
Discovery Grants Program - Individual
Machine learning approaches to image analysis
图像分析的机器学习方法
- 批准号:
RGPIN-2018-04962 - 财政年份:2019
- 资助金额:
$ 1.8万 - 项目类别:
Discovery Grants Program - Individual
NSERC Chair in Design Engineering for sustainable development and enhanced design integration
NSERC 可持续发展和增强设计集成设计工程主席
- 批准号:
524240-2017 - 财政年份:2019
- 资助金额:
$ 1.8万 - 项目类别:
Chairs in Design Engineering - Research
NSERC Chair in Design Engineering for sustainable development and enhanced design integration
NSERC 可持续发展和增强设计集成设计工程主席
- 批准号:
524240-2017 - 财政年份:2018
- 资助金额:
$ 1.8万 - 项目类别:
Chairs in Design Engineering - Research
Machine learning approaches to image analysis
图像分析的机器学习方法
- 批准号:
RGPIN-2018-04962 - 财政年份:2018
- 资助金额:
$ 1.8万 - 项目类别:
Discovery Grants Program - Individual
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397751-2012 - 财政年份:2017
- 资助金额:
$ 1.8万 - 项目类别:
Discovery Grants Program - Individual
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