Identifying Marine Algae Habitats: A Sea Water Classification Approach

Water serves as the primary source for living organisms, but the availability of drinkable water on Earth is limited, mainly found in icebergs and the sea. Determining the pH of water is crucial for various applications, including water treatment to make it drinkable. Sea water is the main sources for many organisms' growth. One of them is the algae. Monitoring parameters like pH, dissolved oxygen, and water circulation is essential for maintaining a stable environment for algae cultivation. Understanding marine water specifications and the role of algae is vital for environmental management and sustainable aquaculture. A hybrid method is proposed, comprising modules for assessing water drinkability and classifying algae habitats. Using machine learning algorithms, the model achieves high accuracy rates of 78% for drinking water and 84 % for algae classification.

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Published
2024-10-18
DOI
https://doi.org/10.1109/discover62353.2024.10750746
Primary Topic
Water Quality Monitoring Technologies
Type
article
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Identifying Marine Algae Habitats: A Sea Water Classification Approach

H Priyanka, Shaun Noronha, Manjula Gururaj Rao, S K Shrisha et al.
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Water Quality Monitoring Technologies
article

Identifying Marine Algae Habitats: A Sea Water Classification Approach

H Priyanka, Shaun Noronha, Manjula Gururaj Rao, S K Shrisha, Shreesha, Shishir
article en

Abstract

Water serves as the primary source for living organisms, but the availability of drinkable water on Earth is limited, mainly found in icebergs and the sea. Determining the pH of water is crucial for various applications, including water treatment to make it drinkable. Sea water is the main sources for many organisms' growth. One of them is the algae. Monitoring parameters like pH, dissolved oxygen, and water circulation is essential for maintaining a stable environment for algae cultivation. Understanding marine water specifications and the role of algae is vital for environmental management and sustainable aquaculture. A hybrid method is proposed, comprising modules for assessing water drinkability and classifying algae habitats. Using machine learning algorithms, the model achieves high accuracy rates of 78% for drinking water and 84 % for algae classification.

PES University (IN)
Life below water
Openalex Percentile: Top 80%
Water Quality Monitoring Technologies
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Identifying Marine Algae Habitats: A Sea Water Classification Approach — H Priyanka, Shaun Noronha, et al. · (2024) | TGRS Research Map | TGRS