Artificial intelligence (AI) and machine learning (ML) have transformed our daily lives, work environments, and interactions with technology. AI focuses on creating intelligent machines capable of tasks that typically require human intelligence, like learning, problem-solving, and decision-making. On the other hand, ML is a branch of AI that involves training algorithms to learn from data and enhance their performance without explicit programming. ML enables AI systems to analyze large datasets, identify patterns, and make predictions or decisions, facilitating applications such as image recognition, natural language processing, and personalized recommendations. By utilizing ML algorithms to make predictions or classifications based on data, AI systems can tackle complex tasks similarly to how humans approach problem-solving.
Our Project
To forecast chlorophyll values as a target variable, a machine learning model can be trained on varied marine physio-chemical stressors such as temperature, salinity, nutrient levels, and light availability, along with temporal patterns in the dataset. By analyzing these factors, the model can identify conditions conducive to increased chlorophyll production, which is indicative of a healthier marine ecosystem including seagrass meadows, tidal marshes, and mangroves. The enhanced chlorophyll levels not only signify robust marine productivity but also improve the carbon sequestration capabilities of these ecosystems, thereby contributing to the reduction of CO2 concentrations in the atmosphere and promoting sustainable blue carbon initiatives. Continuous monitoring and adaptive management based on model predictions can help ensure that these vital ecosystems thrive while mitigating the impacts of climate change.
Conducting predictive modeling for chlorophyll values can provide invaluable insights into the state of marine ecosystems and their ability to sequester carbon. By systematically leveraging data, machine learning, and ongoing management, it is possible to enhance the resilience of vital marine habitats, ensuring their sustainability and contribution to mitigating climate change.