#MarinerUpdate 107: The R/V CATAPULT, operated by Woods Hole Group and Marine Imaging Technologies, will conduct eelgrass monitoring studies in the Cape Poge area off Martha’s Vineyard. The work will take place during the first two weeks in August 2024. View chart & more: https://hubs.la/Q02K1c_t0
Vineyard Wind’s Post
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Curious about how PIT tags assist in fish identification? Here's a breakdown of the components and process. From the antenna's electromagnetic field to the unique ID codes stored in each tag, learn how this technology helps in tracking and research. For more details, visit our website. #WildlifeResearch #FishTracking #PITTags #pittag #fisheries #research
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BOEM officially launched the POWERON (Partnership for an Offshore Wind Energy Regional Observation Network) program, and partnerships with RWSC and NOAA Fisheries to implement it. RWSC will receive $4 million over 3 years to lead the program. Learn more about the POWERON Program and RWSC's role in our recent news release: https://lnkd.in/edGS6JPQ. The next RWSC Marine Mammal Subcommittee meeting on Friday, November 22, 11am-12pm ET will be the first meeting related to POWERON and primarily focus on reviewing a POWERON draft PAM Field Plan for 2025. This meeting is virtual and open to the public. Learn more here: https://lnkd.in/exsmTRYS
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Fish tracking using Ultralytics YOLOv8! 🐟 🐠 YOLOv8 can help track fish precisely, delivering real-time analytics and effective marine monitoring solutions. You can use this advanced technology to study aquatic ecosystems and support sustainable fishing practices. Key Benefits: ✅ Monitor fish behaviour and migration patterns ✅ Improve species identification and population management ✅ Enhance data collection for scientific research Learn more ➡️ https://ow.ly/C8CF50SnSLb #ComputerVision #FishTracking #YOLOv8 #MarineBiology #Conservation
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How Do You Know Where a Fish Goes? - Florida Atlantic University: When scientists want to study the long-distance movement of marine animals, they will instrument them with a small device called an acoustic transmitter – or tag – which emits unique signals or "pings." These signals are picked up by receivers anchored to the seafloor that record the date and time of each detection when the tagged animal comes within range. https://lnkd.in/eqAKYsPA
How Do You Know Where a Fish Goes?
fau.edu
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Unlock unparalleled AI and ML precision with the Master Data Annotator. Discover the difference at https://lnkd.in/dV2B__iy #DataAnnotation #ImageAnnotation #AI #MachineLearning #DataScience #AITrainingData #MLTrainingData #AIAnnotation #MLAnnotation #ArtificialIntelligence #DeepLearning #ComputerVision #DataLabeling #AnnotationServices #DataTagging #AnnotationExperts #TechServices #DataPrep #BigData #DataAccuracy #Smartdata
Fish tracking using Ultralytics YOLOv8! 🐟 🐠 YOLOv8 can help track fish precisely, delivering real-time analytics and effective marine monitoring solutions. You can use this advanced technology to study aquatic ecosystems and support sustainable fishing practices. Key Benefits: ✅ Monitor fish behaviour and migration patterns ✅ Improve species identification and population management ✅ Enhance data collection for scientific research Learn more ➡️ https://ow.ly/C8CF50SnSLb #ComputerVision #FishTracking #YOLOv8 #MarineBiology #Conservation
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New research highlights the critical impact of overpopulated free-roaming horses on the survival of greater sage-grouse in Wyoming. Using precise data from #eobs GPS tags, the study shows how horse numbers exceeding management levels reduce vital survival rates of nests and broods. Huge thanks to the dedicated authors for their in-depth work! #AnimalTracking #WildlifeResearch #ConservationScience #TWS2024 https://lnkd.in/eDAEhkGH
TWS Journals
wildlife.onlinelibrary.wiley.com
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Anglers understand and appreciate what fish habitat is and how important it is. Sometimes, I think they have a better understanding of this than most of us Fisheries Biologists. Since cavepeople invented fishing , they knew that fish often relate to either physical (e.g., aquatic vegetation 🌿, wood 🌲, or artificial structures) or depth structure. As biologists, we grasp the physical structure part of fish habitat, but amazingly, seem to often overlook something as simple as how the depth and contours of the bottom control what fish you find 🐟, how big, how much and where. The contours ARE THE HABITAT! #MappingIsManaging #YouCantProtectWhatYouDontMeasure #BioBaseMaps
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Bighead carp are voracious eaters and are capable of wiping out the base of an aquatic food chain. Silver carp routinely leap up to nine feet out of the water when startled by boat motors, which can cause serious injuries to boaters. Both are beginning to invade Minnesota waters. Minnesota’s best defense at keeping these invasive species at bay: a single, strategically placed wall of vibrating bubbles known as a bioacoustic fish fence, or BAFF, which can be placed in navigation locks. 🎣 Learn more about the work U of M researchers are doing by visiting z.umn.edu/9mul Peter W. Sorensen #UMNResearch #InvasiveSpecies
Grounding the flying fish: stopping invasive carp
twin-cities.umn.edu
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Highlights of the 2024 shark research season off Cape Cod! Working in collaboration with Dr. Greg Skomal of the Massachusetts Division of Marine Fisheries: Deployed a total of 25 acoustic transmitters and 11 camera tags on white sharks along the Outer Cape ranging in size from 7 to 15 feet Collected over 200 videos of white sharks during 25 research trips Identified 76 white sharks in total, and cataloged 22 ‘new’ individuals to be added to the AWSC White Shark Catalog, which contains over 700 individuals making it one of the largest photo-ID databases in the world Read more here: https://lnkd.in/e_ZktYsR
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📰 YOLO-Based Fish Detection in Underwater Environments ✍ Mohammed Yasser Ouis and Moulay Akhloufi In this work, we present a comprehensive study on fish detection in underwater environments using sonar images from the Caltech Fish Counting Dataset (CFC). We use the CFC dataset, initially designed for tracking purposes, to optimize and evaluate the performance of YOLO v7 and YOLO v8 models in fish detection. Our findings demonstrate the high performance of these deep learning models in accurately detecting fish species in sonar images. In our evaluation, YOLO v7 achieved an average precision of 68.3% (AP50) and 62.15% (AP75), while YOLO v8 demonstrated an even better performance with an average precision of 72.47% (AP50) and 66.21% (AP75) across the test dataset of 334,017 images. These high-precision results underscore the effectiveness of these models in fish detection tasks under various underwater conditions. With a dataset of 162,680 training images and 334,017 test images, our evaluation provides valuable insights into the models performance and generalization across diverse underwater conditions. This study contributes to the advancement of underwater fish detection by showcasing the suitability of the CFC dataset and the efficacy of YOLO v7 and YOLO v8 models. These insights can pave the way for further advancements in fish detection, supporting conservation efforts and sustainable fisheries management. 🔗 Read the paper at https://lnkd.in/gbzW822d. #fishdetection #underwater #YOLO
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