This project aims to generate ecological indicators and predictive models of biodiversity in disturbed ecosystems by combining artificial intelligence methods with known assessment approaches. It will thus enable the creation of the first marine biodiversity knowledge base and, subsequently, the development of prediction and interpretation models. It also aims to reveal intelligent solutions for nature in order to ensure the sustainability of coastal socio-ecological systems.

marine biotechnology, marine ecology, biological oceanography

The management of snapper stocks is key to the sustainability of New Caledonia's fisheries. To assess their abundance and diversity, scientists from the IRD and their partners have deployed baited stereo cameras on the seamounts where these fish live, at depths of between 47 and 557 metres. Artificial intelligence then takes over to analyse the hours of recorded video.

feed resources, agricultural economics, biological oceanography, fisheries

The SMART-WING project is breaking new ground by developing a smart wing that can automatically switch between high and low altitude modes depending on the presence of animals. Thanks to its on-board artificial intelligence, the wing detects megafauna in real time, automatically descends to capture high-resolution images, and then resumes flight. This system will enable accurate data to be collected over large areas in an autonomous, efficient and environmentally friendly manner.

marine biology, biological oceanography