Assessing Climate Change Effects and Enhancing Crop Yield Predictions through Artificial Intelligence

Climate change has lasting effects on the productivity of agriculture worldwide, thus threatening food safety and economic stability. The aim of this research is to identify how artificial technology can assist with assessment of climate change and prediction of better crop yields. By using this massive computer learning model, it is possible to yield forecasts that can analyze a variety of climate patterns, soil conditions, and crop characteristics with a precision of much higher value than that of manual input methods. Through the provision of vital information on how to prevent or mitigate disasters based on the weather forecast, AI can help farmers and decision-makers take the right decisions. In this investigation, the most recent techniques, and some cutting-edge AI applications will be presented to support their role in the changes of agriculture in the era of climate change as well as the ways in which they can be of significance in the maintenance of crop productivity. The results indicate AI's crucial contribution regarding the advancement of resilient agricultural production systems, which are able to withstand the environment's volatility and at the same time, fulfill the food needs of the world's increasing population.