The complex process of the depths of the ocean is the key to understanding carbon cycles on our planet. Due to the challenge of the environment, it has always been difficult for micro -marine life to maintain the earth balance. A new tool is expected to overcome these obstacles, enabling scientists to copy marine conditions with significant accuracy and reveal the hidden mechanism that drives the global carbon cycle.
Researchers have developed a pioneering device called AI-Light Spectrum Replicator (LSR) to thoroughly change the research on marine primary productive forces, which plays a vital role in the global carbon cycle. This team led by Professor Stašapuškarić of the Croatian Institute of Technology and Dr. Mateosokač of Aarhus University, Dr. Zivananinčević, and Dr. Heliodor Prelessnik, as well as the HELIODOR PRESNIK of the School of Marine and Fisheries, as well as the School of Oceanology and Fisheries, as well as School of Marine and Fisheries And the innovative incubator created by the HELIODOR Prelesnik of the School of Marine and Fisheries. Dr. Knutbørsheim of the Norwegian Oceanic Institute uses advanced AI algorithms to copy the in -situ spectrum found in the ocean, so that carbon absorption can be performed more accurate and quickly through marine botanical botanicals. The work of the development and testing of LSR is recently published in the “Marine Science and Engineering Magazine”.
LSR represents major improvements in traditional methods used to study major productive forces. These methods are usually difficult to accurately reproduce the complex light environment of the ocean. Professor Pućkari 说 said: “The main motivation behind LSR is to solve the limitations of existing incubators. The incubator cannot copy the rapid changes in light in the natural environment. Our system can accurately control the spectrum and temperature “Carbon Plums” is a crucial step in the process of better understanding and controlling the carbon flux from the atmosphere to the deep sea. This is a key factor in climatic regulation.
LSR combines LED technology and AI driver algorithms to accurately imitate the light conditions of various marine depth. The system has a channel of twelve full spectral LEDs, which can be adjusted separately to match the radiation degree measured at different depth. This ability is critical to accurately simulate the natural light conditions of the ocean plankx experience, which can also measure its photosynthetic activity more reliable. Professor Pućkari 和 and his team tested LSR in the Adalia Sea to compare their performance with the traditional method of origin. The results showed that there was a strong correlation between the two, which confirmed the effectiveness of LSR.
One of the most innovative aspects of LSR is to use AI to optimize the spectral replication process. The system uses a neural network trained on the spectral curve database, and then uses the genetic algorithm to improve it to find the best configuration of each sample. This process ensures that the LSR can be quickly and accurately copy the required light conditions, and can even compensate for the lack of some wavelengths in the LED array. Professor Pućkari 说 said: “The ability of LSR to find the most suitable spectrum in just 10 minutes is to change the rules of the game for preliminary productive research.” “This allows researchers to experiment with previous accuracy and efficiency that could not be achieved.”
LSR not only copies natural light conditions, but also solves several challenges related to traditional incubation methods, such as maintaining a stable temperature and light intensity during the experiment. The design of the system allows a short -term incubation period, which is essential for the rapid changes in carbon absorption that responds to the environmental conditions of the fluctuations. Initial testing shows that LSR can produce highly accurate measurement results, consistent with the traditional incubation.
The potential application of LSR is not just the main industrial -based research. Its precise control of light conditions can be used to explore a wide range of maritime processes, including the generation of lighting organic carbon and the role of microbial communities in the carbon cycle. The research team is optimistic that LSR will become an important tool for marine scientists and provide new insights for the mechanism of carbon solidarity in the ocean.
All in all, Professor Pućkarić and his colleagues have developed the AI-Light Spectrum Replicator, which represents a major leap in marine primary productive forces. By combining the most advanced AI technology with the innovative LED lighting system, LSR provides researchers with unprecedented control level of experimental conditions, and paved the way for more accurate and effective research on the amount of carbon in the ocean.
Journal reference
Pućkari., S., Sokač, M., Ninčević, ž. , Prelesnik, H. , & Bsrsheim, KY (2024). AI-LIGHT SPECTRUM Replicator (LSR): A novel simulation of a novel laboratory/deck incubator. Marine Science and Engineering Magazine, 12 (2), 339. Doi: https: //doi.org/10.3390/jmse12020339
Seabird HOCR sensor is a key component of Dr. Stasa Puskaric LSR system and cooperates with Dr. Puskaric.
On the RV BIOS DVA in June 2023
