Improved Fish Tagging Technology : Field Test Results and Analysis

Hyunju Blemel, A. Bennett, Silas Hughes, Kathleen Wienhold, Thomas Flanigan, M. Lutcavage, C. Lam, Clayward Tam
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引用次数: 4

Abstract

Conventional tagging methods using plastic streamer ID tags have been the most widely used tool for elucidating fish movements in the last half century. However, this universal method for fish tagging is not optimal for tracking global fish populations because it requires fishermen to log details of each catch while they are also attempting to perform all of their usual at-sea activities. Under the current method, fishermen are asked to remember the time and location of the catch, in addition to its size, weight, and condition of the fish and then record it on a data card or similar. The potentially long delay between the recapture event when a previously tagged fish is caught and the associated data entry creates a barrier to accurate data collection and may result in poor data logging. Building on the work of the Olin College of Engineering Intelligent Vehicles Laboratory, Point Road Solutions, LLC (PRS), in partnership with The Large Pelagics Research Center (LPRC) and the Pacific Islands Fisheries Group (PIFC), the research team has been developing a more streamlined, automated method for fisherman to submit data from fish tags while at sea.In the new process, a fish is tagged with a modified streamer tag carrying a rice grain radio-frequency identification (RFID), chip. A fisherman would scan the tag at or near the time of capture with a compatible RFID reader, which will transmit the fish’s tag information to a personal smartphone pre-installed with our reporting application (Hawaii, or "HI", Tag App). The application then appends the tag ID with information such as location, date and time from the phone. Initial tests conducted off the island of Hawaii (Summer 2016) demonstrated that the HI Tag application greatly improved the process of fish tagging and reporting when compared to the current manual data logging method. However, during the 2017 sea trials the HI Tag required extensive interaction with a phone or tablet to properly function. This was deemed inappropriate by the fishermen who asked for a simpler, more streamlined process which was compatible with the kind of environment and work flow found on a fishing vessel at sea. PRS therefore constructed a custom-designed RFID reader with an integrated camera and Bluetooth, designed for use in the kind of challenging environments found on a small working fishing vessels. With this addition, fishermen could scan a tag and image a fish without ever touching their phone or tablet. The RFID information and photo would be automatically transmitted to the phone or tablet via Bluetooth and then associated with time, date and location data on the phone. We tested the improved device off Kona-Kailua, Hawaii, in the summer of 2018 during what turned out to be one of the most prolific Yellowfin fishing periods in living memory. The team then conducted a post-mission interview and debriefing with the local fishermen to determine what aspects of the new generation tagging system were improved and which did not have the desired utility. The feedback has resulted in a finished design that the authors deem "complete", fully functional, and ready for wider distribution and application.
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改进的鱼类标记技术:现场测试结果和分析
在过去的半个世纪里,使用塑料飘带ID标签的传统标记方法一直是阐明鱼类运动的最广泛使用的工具。然而,这种通用的鱼类标记方法并不是追踪全球鱼类种群的最佳方法,因为它要求渔民在进行所有日常海上活动的同时,记录每次捕获的详细信息。根据目前的方法,渔民被要求记住捕获的时间和地点,以及鱼的大小、重量和状况,然后将其记录在数据卡或类似的东西上。当捕获先前标记的鱼时,从重新捕获事件到相关数据输入之间可能存在很长的延迟,这对准确的数据收集造成了障碍,并可能导致数据记录不佳。在奥林工程学院智能车辆实验室、Point Road Solutions, LLC (PRS)与大型远洋研究中心(LPRC)和太平洋岛屿渔业集团(PIFC)合作的基础上,研究团队一直在开发一种更精简、自动化的方法,供渔民在海上提交鱼类标签数据。在这个新过程中,一条鱼被一个改良的带有米粒射频识别(RFID)芯片的飘带标签所标记。渔民将在捕获时或接近捕获时使用兼容的RFID读取器扫描标签,该读取器将鱼的标签信息传输到预装了我们的报告应用程序(夏威夷,或“HI”,标签应用程序)的个人智能手机上。然后,应用程序将标签ID附加到手机的位置、日期和时间等信息。在夏威夷岛(2016年夏季)进行的初步测试表明,与目前的手动数据记录方法相比,HI Tag应用程序大大改善了鱼类标记和报告的过程。然而,在2017年海试期间,HI Tag需要与手机或平板电脑进行广泛的互动才能正常工作。渔民们认为这是不合适的,他们要求一个更简单、更精简的程序,以适应海上渔船的环境和工作流程。因此,PRS建造了一个定制的RFID读取器,集成了摄像头和蓝牙,专为小型渔船的挑战性环境而设计。有了这个功能,渔民可以扫描一个标签,在不碰手机或平板电脑的情况下给鱼拍照。RFID信息和照片将通过蓝牙自动传输到手机或平板电脑上,然后与手机上的时间、日期和位置数据相关联。我们于2018年夏天在夏威夷科纳-凯卢阿附近测试了改进后的设备,当时是人们记忆中最多产的黄鳍鱼捕捞期之一。小组随后与当地渔民进行了任务后的面谈和汇报,以确定新一代标签系统的哪些方面得到了改进,哪些方面没有达到预期的效用。这些反馈导致了一个最终的设计,作者认为它是“完整的”、功能齐全的,可以进行更广泛的分发和应用。
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