Predicting the Impact of Climate Change on Tidal Zone Fishes Using SVM Approach

Climate change is the most important topic discussed among countries due to the damage it made to the environment. The impact of the climate change influences the people and marine fisheries directly and indirectly. The implication of climate change resulted into rising sea level, changes of pattern in coastal landscape, missing seasonal rainfall, tsunami etc. Rising of temperature is one such impact which affects the marine fisheries. The marine fishes are drifted from their conventional ocean zone into different places because of the absence of favorable environment. In Indian Ocean (IO), the seasonal catchments of customary fishes like sardine, pelagic and demersal are reduced due to the aberrant pattern of climate change. If the trend is continue, the problem of lack of catchment, over fishing is to be happened in the near future. This paper presents the details of these conventional fishes and analyse their decline in catchment due to climate change. Furthermore, the historical data of these fish catchment is taken for predicting the future trend. The Support Vector Machine (SVM) algorithm is employed for predicting the nature of these fishes. The system is tested with the available datasets and the test result shows the efficiency of the proposed system.