Integrating Unmanned Aerial Vehicles (UAVs) into Modern Agrometerologica Approach for Precise, Real-Time Prediction in Crop Water

A novel method for enhancing agrometeorological forecasts by incorporating Unmanned Aerial Vehicles (UAVs) into the existing framework for accurate, real-time assessment of agricultural water requirements is proposed in this research work. When combined with agrometeorological modeling techniques, UAV-collected high-resolution, multispectral data has the potential to provide precise, timely information on agricultural water needs. This link may assist farmers and others with an interest in agriculture make more informed decisions about where and how to use irrigation water. Researchers propose using UAV-based remote sensing, weather station integration, and agrometeorological modeling to estimate the amount of water crops require. Early findings indicate that the integrated method has the potential to provide accurate forecasts promptly. The implications of this study's findings for precision agriculture are significant, especially in terms of fostering water-efficient management techniques. In the future, the prediction system will be refined and utilized in a wider range of agricultural contexts.