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UID:10000113-1763550000-1763555400@pnamp.org
SUMMARY:NAISMA Webinar: Harnessing AI for Invasive Species Detection: Smart Traps\, Drones\, and Machine Learning in Action - FREE
DESCRIPTION:*NOTE-this is not a fisheries specific webinar but using AI and remote sensing is a rapidly evolving technique and can be applied across a variety of sciences. This information could help aquatic specialists explore new ways to detect aquatic invaders. The webinars will highlight how emerging technologies are being adapted and applied to meet the challenges of invasive species detection in the field—providing a glimpse into the future of smart conservation. \nJoin NAISMA this November for a dynamic webinar showcasing how artificial intelligence is transforming invasive species detection and monitoring across ecosystems. Through innovative applications like smart traps\, drones\, and machine learning\, researchers and practitioners are unlocking new tools to manage biological invasions more effectively and efficiently. \n\nREGISTER NOW\n\n\nDr. Melissa Miller from the University of Florida will present her work on developing AI-powered smart traps designed to detect and remove invasive tegu lizards—large\, fast-moving reptiles that threaten native wildlife and agriculture in the southeastern U.S. Dr. Thomas O’Shea-Wheller from the University of Exeter will share his team’s research on using deep learning models to detect invasive hornets in real time\, offering critical insights for rapid response and containment. Representing Ducks Unlimited Canada\, Matthew Bolding and Mallory Carpenter will discuss their efforts to integrate drone technology and AI to monitor populations of European water chestnut\, a fast-spreading aquatic invasive plant impacting wetland biodiversity and water quality. \nVespAI: Applying Deep Learning to the Detection of Invasive Hornets presented by Thomas O’Shea-Wheller\nThe invasive hornet Vespa velutina nigrithorax is a rapidly proliferating threat to biodiversity and apiculture in Europe\, East Asia\, and North America. To date\, authorities have struggled to contain the hornets\, as colonies must be detected and destroyed early in the invasion curve if establishment is to be prevented. Current monitoring approaches rely primarily upon visual alerts by the public and surveillance trapping\, however the former yields less than 0.01% accuracy\, while the latter kills substantial numbers of native invertebrates. With the continuing spread of V. velutina\, there is thus a pressing need to develop improved monitoring technologies within a limited timeframe. In this talk\, I outline VespAI\, an automated system for the rapid detection and behavioural quantification of V. velutina\, V. crabro\, and V. orientalis. VespAI leverages a hardware-assisted AI approach\, combining a standardised monitoring station with deep YOLO architecture\, trained on a bespoke end-to-end pipeline. This enables the system to detect hornets in real-time—achieving a precision-recall score of ≥0.99—and send associated image alerts via a compact remote processor. I discuss the development\, performance\, and future deployment of the system\, and highlight its potential to enhance the scope and sustainability of invasive hornet surveillance at a global scale. \nThis webinar will highlight how emerging technologies are being adapted and applied to meet the challenges of invasive species detection in the field—providing a glimpse into the future of smart conservation. \n\n\n\nDr. Thomas O’Shea-Wheller\, University of Exeter\nDr. Thomas O’Shea-Wheller is interested in the complex interactions that govern collective behavior\, ecology\, and self-organization within social insects. As a Research Fellow based at the University of Exeter\, he works with ants\, bees\, hornets\, and termites to explore colony network dynamics\, social plasticity\, and behavioral heterogeneity in invasive contexts. His current research includes projects pertaining to honey bee epidemiology\, collective decision-making in ants\, and the detection of invasive species using artificial intelligence.
URL:https://pnamp.org/event/naisma-webinar-harnessing-ai-for-invasive-species-detection-smart-traps-drones-and-machine-learning-in-action-free/
LOCATION:Virtual
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DTSTART;VALUE=DATE:20251103
DTEND;VALUE=DATE:20251107
DTSTAMP:20260417T071544
CREATED:20250729T195448Z
LAST-MODIFIED:20250729T195448Z
UID:10000111-1762128000-1762473599@pnamp.org
SUMMARY:2025 NAISMA Annual Conference
DESCRIPTION:The 2025 North American Invasive Species Management Association (NAISMA) Annual Conference is headed to the breathtaking shores of Lake Tahoe! Mark your calendars for November 3–6\, 2025\, and join them at Harrah’s Lake Tahoe in Stateline\, Nevada\, for an inspiring and impactful event. \n\nLEARN MORE\n\n  \nConference Details \n\nDates: November 3–6\, 2025\nLocation: Harrah’s Lake Tahoe\, 15 Hwy 50\, Stateline\, NV 89449\nSpecial Room Rate: $59 per night (plus resort fees and applicable taxes)\n\nWhy Attend?\nThe NAISMA Annual Conference is your opportunity to connect with leading professionals\, discover the latest innovations in invasive species management\, and contribute to shaping the future of our field. From engaging keynotes to hands-on workshops\, this event offers a rich program for attendees from diverse backgrounds. \nAccommodations\nThe conference itself will take place at Harrah’s Lake Tahoe\, where a discounted room block ($59 per night) is available for attendees. Just across the street\, the Margaritaville Resort Lake Tahoe will also offer a special group rate\, giving you flexibility and convenience no matter your preference. Click here to learn more. \nExplore Lake Tahoe\nWhile you’re here\, take time to enjoy the beauty of Lake Tahoe. From outdoor adventures to world-class dining\, there’s plenty to explore before or after the conference.
URL:https://pnamp.org/event/2025-naisma-annual-conference/
CATEGORIES:Non-PNAMP Event
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