Artificial intelligence has been a vital tool for analyzing weather for years now. With the advancement in technology, data scientists started to apply AI to create forecasts that are more granular, accurate, and reaching. This is making the lives of farmers, business people, government, and farmers easy in taking decisions concerning farming, planting, and harvesting.
The airlines are also benefiting from AI in weather forecasting to stay alert in charting the routes in advance or to make an emergency landing. The uses of Artificial Intelligence in weather forecasting are many. With changing atmospheric conditions, the accuracy of predictions may go up and down. This is where the role of AI in weather forecasting comes into the picture to help human forecasters to better understand and predict situations.
AI predictions are primarily based on machine learning algorithms. AI can predict processing complex data in a shorter span of time using linear regression principles with great accuracy. Machine learning can help in anticipating the temperature, wave height, and precipitation. For instance, Numerical Weather Prediction is one such tool that can aid AI in weather forecasting. Other AI techniques for weather predictions include Ensemble Neural Network, Back propagation Network, Radial Basis Function Network, Genetic Algorithm, and Fuzzy clustering.
Did you know? IBM was one of the first companies that used computer systems to improve weather forecasting. After purchasing the weather company and its properties, the company plans to use it for transforming the weather forecasting sector. Google’s Artificial Intelligence forecast tool is based on UNET that allows researchers to generate accurate rainfall predictions six hours before the precipitation occurs. This is all possible with satellite imaging that uses Artificial Intelligence in weather forecasting.
As the weather forecasting features of AI are multifold, from helping in disaster management to the logistics and retail industry to agriculture. In the future, we are also going to use radar imagery to detect strom centers, and high precipitation in the world. The very idea of overcoming the current shortcoming in the weather prediction and analysis process is being filled by Artificial Intelligence. AI weather tools are already in the use to alarm weather patterns and to operate day by day. Constantly updating and following the most recent information and data, Artificial Intelligence technologies can keep people and businesses up to date with the weather events of the day.
When we take a look at AI tech especially considering the uses in farming businesses, the steps of growth and production depend on weather forecasting. AI technologies are thriving to ensure that people can stay alert in knowing the weather conditions and to plan accordingly. The future is going to be even more technology-driven for predicting better using the trends such as artificial intelligence, machine learning, and more.