At the Institute of Natural and Technical Systems (IPTS) and Sevastopol State University (SevSU), a system based on artificial intelligence (AI) has been developed to monitor the cleanliness of water bodies by the behavior of bivalve mollusks. This was announced by Alexander Grekov, Deputy Head of the Center for Environmental Instrumentation and Eco-Energy at IPTS.
A great deal has been done, a large amount of information has been processed. And one of the areas of work was the selection of machine learning algorithms that would allow the use of bivalve mollusks as bioindicators in automated systems for monitoring the state of the aquatic environment.
The experiment was conducted in the Black River water area. Scientists used mollusks of the species Unio pictorum (common painter's mussel).
We recorded the data on how quickly and to what distance the valves open using a magnet installed on one valve and a sensor installed on the other. The data obtained from such sensors, received immediately from several different individuals, were processed using machine learning algorithms.
Experts trained AI to recognize pollution by the movement of valves. The new method allows data to be obtained two hours faster compared to traditional approaches.
Earlier www1.ru reported that Russian scientists revealed the long-term impact of cesium-137 on the ecosystem of Western Siberia.
Read materials on the topic:
Russian mobile laser will clean the seas of sunken ships
"General cleaning" in the Kuriles: the cleaning of the water area has reached the final stage
