SBIR Phase II: Sonar Arrays for Maximizing Aquaculture Yields

这项小企业创新研究（SBIR）第二阶段项目的更广泛影响是改善对虾养殖的养殖方法。在渔业和海洋生态学领域，虾往往沦为更具商业价值的种群的猎物。拟议的技术改善了虾农的财务安全，确保了粮食安全，并减少了野生种群的压力。拟议的项目提供跨地区对虾生物量和行为的标准化实时估计。通过强有力的处理，这就形成了一个完善的水产养殖监测系统。虽然实验室实验对于了解虾在受控环境下的生长和发育很有价值，但它们也很有限，水产养殖研究是最不健全和可用的。水产养殖为研究提供的受控环境是一种尚未开发的资源，因为数据没有跨池塘、区域或国家标准化。通过提供数据标准化机制，提议的平台为从事野生渔业和水产养殖的科学界提供有价值的数据，并为研究之外的水产养殖实践提供信息。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

The broader impact of this Small Business Innovation Research (SBIR) Phase II project improves cultivation practices for shrimp aquaculture. Within the field of fisheries and marine ecology, shrimp is often reduced to a prey species for more commercially valuable stocks. The proposed technology improves financial security for shrimp farmers, ensures food security, and reduces pressure on wild stocks. The proposed project provides standardized real-time estimates of shrimp biomass and behavior across regions. With robust processing, this produces a well-integrated system for aquaculture monitoring. While lab experiments are valued for understanding shrimp growth and development in a controlled setting, they too are limited, with aquaculture research being the least robust and available. The controlled setting that aquaculture offers research is an untapped resource because the data are not standardized across ponds, regions, or countries. By providing a mechanism for data standardization the proposed platform contributes valuable data to the scientific community working in wild fisheries and in aquaculture, and informs aquaculture practice beyond research.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.