Marine Weather Forecasting to Enhance Fisherman's Safety Using Machine Learning

M. Robinson Joel, G. Manikandan, Ms. S. Nivetha

International Journal of Scientific Research in Science Engineering and Technology · 05 April 2023

In one sentence. Surveys machine learning methods for weather forecasting, framed around marine forecasts for fisherman safety, without new models or quantitative results.

Abstract

Through the use of scientific knowledge and weather measurements, weather forecasting is a technique for predicting what the atmosphere will be like in a certain location. In other words, it's a method by which the characteristics of a meteorological state are determined in advance by factors such as temperature, wind, humidity, rainfall, and the quantity of the data set. In an effort to foretell weather conditions now and in the future, meteorologists use a process called weather forecasting. For everyday operations, accurate weather forecasts are required, and this has been one of the most difficult problems to solve globally since the data is multidimensional and nonlinear. According to the survey, supervised and unsupervised machine learning algorithms, artificial neural networks, naive bayes algorithms, and random forest algorithms are some of the different techniques and algorithms utilised for weather prediction in the field of data mining.

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