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 项目更广泛的影响/商业潜力是开发集成人工智能和基因组学的技术，从而能够快速可靠地识别国内和国际海鲜供应链的核心物种。拟议的技术将允许供应链参与者在不同的现场环境中验证鱼类和海鲜产品的物种身份。快速、准确的物种识别对于执行海洋渔业（包括海产品进出口）保护法规至关重要。执法部门对物种身份的验证对于识别非法捕捞和贸易的情况、减少威胁海洋蛋白长期供应的过度捕捞以及防止海产品的故意替代和贴错标签至关重要。这项技术将使执法部门和其他供应链参与者能够验证整个海鲜供应链中产品的物种身份。该技术成功转化为商业领域，最终将有助于国内和国际市场满足快速增长的需求，寻找创新解决方案，促进海洋渔业的可持续利用，保护海鲜供应链，并加强蓝色经济。该 I-Corps 项目基于智能物种识别技术的开发，利用人工智能和基因组学的进步，让用户能够快速、可靠地识别物种。自信地识别物种的能力对于许多科学学科（例如生态学、进化、保护、自然资源管理）至关重要。然而，确定具有保守形态的生物体或已去除诊断形态特征的标本中的物种身份通常需要进行基因测试，这需要专门的设备和专业知识。这不仅给生物学和生态学研究造成障碍，而且也给自然资源的可持续利用带来问题。物种鉴定在海洋渔业中尤为重要，因为需要快速、可靠的鉴定来量化捕捞水平、识别非法捕捞并监测保护状况。该技术为渔业和海鲜领域的物种识别问题提供了一个有前景的解决方案，无需专门培训或专业知识即可在需要时进行视觉和基因组物种识别，使其成为渔业环境的理想选择。该奖项反映了 NSF 的法定使命，并通过使用基金会的智力价值和更广泛的影响审查标准进行评估，被认为值得支持。