U. Srija

Sathyabama Institute of Science and Technology

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J. Jabez

Sathyabama Institute of Science and Technology

S. Gowri

Sathyabama Institute of Science and Technology

J. S. Vimali

Sathyabama Institute of Science and Technology

P. Divya

University of Madras

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Sathyabama Institute of Science and Technology

Computer Algorithms for Medicine

Texas State University

Sri Ramakrishna Institute of Paramedical Sciences

Seva Mandir

Gandhi Medical College

University of Madras

Kumaun University

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Conservation of Mangroves by Trait-Based Using Deep Learning Algorithm

Journal of Computational and Theoretical Nanoscience (2020)

S. Gowri U. Srija P. Divya J. Jabez J. S. Vimali

Classifying and predicting the Mangrove species is one of the most important applications in our ecosystem. Mangroves are the most endangered species that contributes in playing a greater role in our ecosystem. It mainly prevents the calamities like soil erosion, Tsunami, storms, wind turbulence, etc. These Mangroves has to be afforested and conserved in order to maintain a healthy ecosystem. To attain this the study of mangrove is to be done first. To classify the mangroves in its habitat, we use an algorithm from Deep Neural Network.

Mangrove ecosystem

10.1166/jctn.2020.9180

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