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Improved Fish Tagging Technology : Field Test Results and Analysis

机译：改进的鱼标签技术：现场测试结果和分析

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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.
机译：使用塑料飘带ID标签的传统标记方法是最广泛使用的工具，用于阐明过去半个世纪的鱼类。然而，这种用于追踪全球鱼群的鱼标记的通用方法是不适用于跟踪全球鱼群，因为它需要渔民来记录每个捕获的细节，而他们也试图执行他们所有通常的海上活动。在目前的方法下，要求渔民记住捕获的时间和位置，除了其尺寸，重量和鱼类的条件，然后将其记录在数据卡或类似物上。捕获先前标记的鱼类时，recapture事件之间的潜在长延迟，并且关联的数据输入为准确的数据收集创建屏障，可能导致数据记录不良。研究团队与奥林工程智能车辆实验室，点路解决方案，LLC（PRS）与太平洋群岛渔业集团（PIFC）合作，研究团队的奥林工程智能车型实验室一个更简化的渔民自动化方法，用于在海上提交来自鱼标签的数据。在新过程中，用携带水稻射频识别（RFID），芯片的改进的拖缆标签标记一条鱼。渔民将使用兼容的RFID阅读器捕获或附近扫描标签，该标签将将鱼的标签信息传输到预先安装的个人智能手机（夏威夷或“HI”，标签应用程序）。然后，应用程序将标签ID附加，其中信息（如手机）的位置，日期和时间等信息。夏威夷岛（2016年夏季）进行的初始测试表明，与当前手动数据记录方法相比，HI标签应用程序大大提高了鱼标记和报告的过程。但是，在2017年海上试验期间，HI标签需要与电话或平板电脑进行大量的互动，以适当的功能。这是渔民被要求更简单，更简化的进程的渔民被视为不合适，这些过程与海上渔船的种类和工作流程兼容。因此，PRS构建了一种定制的RFID读卡器，具有集成相机和蓝牙，专为在小型工作渔船上找到的具有挑战性环境中使用而设计。通过这种添加，渔民可以扫描标签并在没有触摸手机或平板电脑的情况下进行捕鱼。 RFID信息和照片将通过蓝牙自动传输到手机或平板电脑，然后与电话上的时间，日期和位置数据相关联。在2018年夏天，我们在2018年夏天开始了夏威夷的改进的设备，在原因是生活记忆中最多的黄鳍渔季度之一。然后，该团队通过当地渔民进行了任务后的面试和汇报，以确定新一代标签系统的哪些方面得到改善，并且没有所需的效用。反馈导致了作者认为“完整”，全功能，准备更广泛的分销和应用程序的成品设计。

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