pyfao56: FAO-56 evapotranspiration in Python

Summary: This study compares different solutions for precision irrigation management in terms of cotton yield and water productivity. It found that a soil water balance model based on evapotranspiration and a modeling framework utilizing specific soil data had similar effects on applied irrigation, cotton fiber yield, and water productivity. The approach of estimating crop coefficients using unmanned aerial systems significantly reduced applied irrigation but also resulted in yield reduction. The use of commercial variable-rate irrigation technology maintained yield while reducing applied irrigation. The study also suggests that crop water stress information, particularly from thermal imaging data obtained from unmanned aerial systems, could benefit irrigation scheduling protocols.