I-Corps: Fisheries Management Through Species Identification Technology

I-Corps：通过物种识别技术进行渔业管理

• 批准号: 2348772
• 负责人: Mariah Meek
• 金额: $ 5万
• 依托单位: Michigan State University
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2024
• 资助国家: 美国
• 起止时间: 2024-02-01 至 2025-01-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2348772&HistoricalAwards=false
• 关键词: Corps; Fisheries; Management; Through; Species

The broader impact/commercial potential of this I-Corps project is the development of technology that integrates artificial intelligence and genomics to enable the rapid and reliable identification of species central to domestic and international seafood supply chains. The proposed technology will allow supply chain actors to verify the species identity of fish and seafood products in diverse field settings. Fast and accurate species identification is fundamental to the enforcement of protective regulations in marine fisheries, including for seafood imports and exports. Verification of species identity by law enforcement is paramount to identifying instances of illegal harvest and trade, reducing overfishing that threatens the long-term availability of ocean-derived protein, and preventing the intentional substitution and mislabeling of seafood products. This technology will equip law enforcement and other supply chain actors to verify the species identity of products moving throughout seafood supply chains. Successful translation of this technology into the commercial sector will ultimately assist domestic and international markets in meeting a rapidly growing need to find innovative solutions that facilitate more sustainable use of marine fisheries, protect seafood supply chains, and strengthen the blue economy. This I-Corps project is based on the development of smart species identification technology that leverages advances in artificial intelligence and genomics to allow users to quickly and reliably identify species. The ability to confidently identify species is of fundamental importance to numerous scientific disciplines (e.g., ecology, evolution, conservation, natural resource management). However, determining species identity in organisms with conserved morphologies or in specimens where diagnostic morphological features have been removed often necessitates genetic testing, which requires specialized equipment and expertise. This not only creates roadblocks in biological and ecological studies but is also problematic for the sustainable use of natural resources. Species identification is particularly important in marine fisheries where rapid and reliable identification is necessary to quantify harvest levels, identify illegal harvest, and monitor conservation status. This technology offers a promising solution to the problem of species identification in fisheries and seafood sectors by allowing visual and genomic species identification to be conducted at the point of need without specialized training or expertise, making it ideal for fisheries settings.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

该I-Corps项目的更广泛的影响/商业潜力是将人工智能和基因组学整合的技术开发，以使能够快速可靠地识别国内和国际海鲜供应链中心的物种。拟议的技术将使供应链参与者能够在各种野外环境中验证鱼类和海鲜产品的物种身份。快速准确的物种鉴定是海洋渔业中的保护性法规的基础，包括海鲜进口和出口。通过执法对物种认同的验证对于确定非法收获和贸易的实例至关重要，从而减少了威胁海洋衍生蛋白质的长期可用性，并防止有意替代和误贴海鲜产品的过度捕捞。这项技术将为执法人员和其他供应链参与者配备，以验证整个海鲜供应链中移动的产品的物种身份。将该技术成功地转化为商业部门将最终协助国内和国际市场满足迅速增长的需求，以寻找创新的解决方案，以促进更可持续地使用海洋渔业，保护海鲜供应链并增强蓝色经济。这个I-Corps项目基于智能物种识别技术的开发，该技术利用人工智能和基因组学的进步使用户可以快速，可靠地识别物种。自信地识别物种的能力对众多科学学科（例如生态学，进化，保护，自然资源管理）至关重要。但是，确定具有保守形态的生物体中的物种认同，或在诊断形态特征被去除的标本中通常需要进行基因检测，这需要专门的设备和专业知识。这不仅在生物学和生态学研究中造成了障碍，而且在自然资源的可持续使用方面也是问题。物种鉴定在海洋渔业中尤为重要，在量化收获水平，确定非法收获和监测保护状态时，需要快速和可靠的鉴定。这项技术通过允许在需要的情况下进行视觉和基因组物种识别，而没有专门的培训或专业知识，这是对渔业和海鲜部门中物种鉴定问题的一种有希望的解决方案，这是NSF的法定任务的理想选择，这是NSF的法定任务，并通过使用基础的智力来评估了NSF的法定任务，并以评估的智力效果和宽阔的范围进行了评估。