AI Detects Smuggled Marine Wildlife with 92% Accuracy
An AI algorithm developed by Macquarie University researchers can detect smuggled shark fins, seahorses, and sea cucumbers with 92% accuracy using X-ray CT scans.
An AI algorithm developed by Macquarie University researchers can detect smuggled shark fins, seahorses, and sea cucumbers with 92% accuracy using X-ray CT scans.
A new study used historical Swedish newspapers to reveal that harbor porpoises once had a much wider distribution across the Baltic Sea, including areas where they are now rare or absent, providing crucial insights for conservation.
Scientists developed a new laser-based method combining geochemistry and marine ecology to accurately determine shark age, aiding conservation efforts for vulnerable species like the Speartooth Shark.
An international study reveals that integrated land-use planning can reduce development's impact on biodiversity by 15% and cut carbon loss by 19%, offering a framework for balancing conservation, agriculture, and renewable energy needs.