As weather patterns become more unpredictable and extreme, like sudden heavy rains, long dry periods, and hotter summers—it's getting very challenging for farmers to manage their fields using traditional practices. These weather changes are messing up key tasks like watering crops. To help deal with this, we're creating a tool that can predict when and how much water crops will need, based on weather and climate trends. Using machine learning (a kind of smart computer programing and modeling), we figure out which crop conditions matter most, and then forecast irrigation needs. We're also planning to estimate how water demand might change in the future as the climate continues to shift. This tool won’t just help farmers water their crops more efficiently, it will also help them prepare for extreme events like droughts and floods. Overall, it’s designed to protect crop yields in the Humid Gulf Coast Prairies, even for climatic fluctuations.