Artificial Intelligence for Plankton monitoring
Plankton abundance and composition may change under the influence of global climate change. We present AI-based monitoring
The main aspects of the importance of plankton monitoring:
•Monitoring the state of ecosystems Changes in the ratio of plankton species can signal a deterioration in the condition of reservoirs, changes in temperature, water quality and other environmental factors.
•Understanding food chains Plankton serves as the primary food source for many marine organisms, including fish and other large aquatic animals. The study of its biodiversity helps to understand the nutritional relationships in aquatic ecosystems.
•Climate change Plankton participates in biochemical cycles such as the carbon cycle and affects the uptake of carbon dioxide by the oceans. Its abundance and composition may change under the influence of global climate change.
Climate And Environmental Technologies
Climate change control technologies
2 years
Russian Federation, Laboratory of Ecology of Aquatic Communities and Invasions
a team of highly qualified specialists formed in the collaboration of the artificial intelligence laboratory and biologists
WE HAVE
•collected and published publicly available datasets that contain information about the species diversity of plankton in reservoirs of Russian Federation and not only (GIBIF, GIBIF)
•published scientific publications describing datasets
•collected a dataset of more than 10,000 images of crustaceans from under a microscope with labeling.
•trained a neural network that recognizes the type of each plankton and counts their number
N.A.
https://www.gbif.org/dataset/search?publishing_org=9d8de7ef-a571-4bc3-985a-86a9b8dddd77
