eDNA-bot: Rapid Aquatic Species Monitoring System

Say hello to the latest bot... Don't worry, it's not another chatbot 😉 ORNL researchers are developing a new e-DNA bot that will autonomously collect, process, and analyze environmental DNA in real time, delivering faster insights into aquatic ecosystems. The technology could significantly reduce the cost of biological monitoring for #hydropower facilities and uncover new insights into how species interact with energy infrastructure. Learn more: https://bit.ly/4vkTaIv

Interested in non-invasive molecular methods for aquatic species protection? Then check out our team's work developing robots to collect, process, and analyze environmental DNA found in waterways.

New Post: A Real‑Time Carbon Flux Monitoring Platform Leveraging Multi‑Sensor Satellite Data and Deep Learning for Global Forest and Agricultural Lands - — ### Abstract Monitoring carbon sequestration and emissions from terrestrial ecosystems in real time is essential for validating national pledges under the Paris Agreement and for guiding adaptive forest and agricultural management. Current approaches rely on sparse in‑situ flux towers or offline satellite‑derived carbon estimates, which suffer from limited spatial coverage, coarse temporal resolution, and \[…\]

Researchers at Oak Ridge National Laboratory and Pacific Northwest National Laboratory have partnered with Smith-Root Inc.. to develop an autonomous aquatic robot that collects and analyses environmental DNA (eDNA) in real time. The “eDNA-bot” uses artificial intelligence to operate independently, offering a lower-cost and less invasive alternative to traditional biological surveying methods like netting and electrofishing. It has the potential to transform how we monitor aquatic ecosystems, particularly in complex hydropower environments where conditions can make data collection difficult. “It would let us sample continuously and unobtrusively for months at a time,” said project lead Kristine Moody. “The bot also would allow us to access sites that are too remote or too dangerous to easily accommodate human surveyors.” The technology could support faster, more efficient environmental assessments for hydropower licensing, while also enabling applications such as invasive species detection and wastewater monitoring. With plans to develop a compact, field-ready system, the team is now focused on improving durability and preparing the technology for real-world deployment, including in challenging saltwater environments. #Hydropower #Innovation #AI

Data Orchestration Strategic integration of global datasets from Cornell Lab (eBird), iNaturalist, Flickr, and Xeno-Canto. Discover the technology driving the conservation conversation: 🔗 Birdetector.com #GeoSpatial #BigData #BioDiversity #TechInnovation #EnvironmentalData #Birdetector #LinkedInLearning

In a changing climate, accurate weather forecasting is crucial. It's why Earth Sciences New Zealand — the country’s leading environmental research agency — is advancing natural hazard resilience by combining physics-based modeling with AI. The result? More effective warnings and smarter adaptation strategies for farming in increasingly variable conditions. Read why ESNZ relies on Spectra Logic TFinity tape libraries to support long-range forecasts with unprecedented precision: https://lnkd.in/eyk4a2-u #climatechange #datastorage

In a changing climate, accurate weather forecasting is crucial. It's why Earth Sciences New Zealand — the country’s leading environmental research agency — is advancing natural hazard resilience by combining physics-based modeling with AI. The result? More effective warnings and smarter adaptation strategies for farming in increasingly variable conditions. Read why ESNZ relies on Spectra Logic TFinity tape libraries to support long-range forecasts with unprecedented precision: https://lnkd.in/g9d75X2P #climatechange #datastorage

In a changing climate, accurate weather forecasting is crucial. It's why Earth Sciences New Zealand — the country’s leading environmental research agency — is advancing natural hazard resilience by combining physics-based modeling with AI. The result? More effective warnings and smarter adaptation strategies for farming in increasingly variable conditions. Read why ESNZ relies on Spectra Logic TFinity tape libraries to support long-range forecasts with unprecedented precision: https://lnkd.in/esN4qNyR #climatechange #datastorage

Can data restore trust in our rivers? This #EarthDay, the conversation is shifting. We know the challenges: sewage spills, algal blooms, and sediment surges. In 2024, 83% of English rivers were found to be polluted, and the public trust has reached an all-time low. But a new generation of digital solutions is moving us from crisis mode to stewardship mode. This report highlights how AI, satellite tech, and wireless sensors are providing the early warning systems our ecosystems desperately need. From sediment tracking in the Alpine Rhine to wireless flow monitoring in the UK, we finally have the tools to protect biodiversity in real-time. Read the full report here: https://lnkd.in/dZYXRN8X

In a changing climate, accurate weather forecasting is crucial. It's why Earth Sciences New Zealand — the country’s leading environmental research agency — is advancing natural hazard resilience by combining physics-based modeling with AI. The result? More effective warnings and smarter adaptation strategies for farming in increasingly variable conditions. Read why ESNZ relies on Spectra Logic TFinity tape libraries to support long-range forecasts with unprecedented precision: https://lnkd.in/gqf9wWG5 #climatechange #datastorage