Conservation of Mangroves by Trait-Based Using Deep Learning Algorithm
| Autor: | S. Gowri, U. Srija, P. A. Shirley Divya, J. S. Vimali, J. Jabez |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0106 biological sciences
010504 meteorology & atmospheric sciences business.industry Computer science 010604 marine biology & hydrobiology Deep learning Trait based General Chemistry Condensed Matter Physics Machine learning computer.software_genre 01 natural sciences Computational Mathematics General Materials Science Artificial intelligence Electrical and Electronic Engineering Mangrove business computer 0105 earth and related environmental sciences |
| Zdroj: | Journal of Computational and Theoretical Nanoscience. 17:3328-3332 |
| ISSN: | 1546-1955 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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