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2026
The use of drones and Artificial Intelligence for dugong sighting detection in a limited resource scenario
Digdo, A.A., Astari, E., Arinda, B.R., and Cahyono, T. (2025), BIO Web of Conferences.
Published in BIO Web of Conferences, this study explores the use of drones and artificial intelligence to detect dugongs under limited-resource conditions in North Sulawesi, Indonesia. Combining CMS Dugong Questionnaire data, seagrass habitat mapping from the Allen Coral Atlas, drone surveys, and AI-assisted image analysis, the researchers conducted 28 flights covering 12.09 km² and recorded 56 dugong sightings. While manual image analysis proved more reliable, AI detection achieved only 17.6% precision, highlighting the need for larger and more diverse training datasets. The study demonstrates the potential of combining affordable technologies, habitat data, and local ecological knowledge to improve dugong monitoring and guide conservation in areas where resources and population data are limited.
dugong
2001
Dugong: status report and action plans for countries and territories
United Nations Environment Programme (2001)