Thecollege of science at the University of Basrah organized a seminar on calculating the annual nutrition of the Nineveh Plain using GRACE &GLDAS satellite data .The seminar aimed at the annual quantitative measurement of groundwater recharge using gravity data using GIS-based machine learning and deep learning algorithms to choose the best algorithm for modeling the potential of groundwater recharge, the seminar included the student Fatima Abdul-Jabbar Abdul-Wahab. Determining recharge is the most important part of the hydrological system-it improves water quality, maintains water sustainability, reduces pumping volumes, and manages saltwater intrusion. There is currently no universally applicable method that can directly and accurately measure the volume of rainwater reaching the groundwater table. The CMB method was applied in the study area to calculate the groundwater recharge rate, rainwater samples were collected from several different locations, in addition to collecting samples taken from wells scattered throughout the research area. Approximately 30 samples were collected, placed in special containers kept in suitable conditions and transported to the laboratory for the necessary analyzes, including positive and negative ions, as well as dissolved solids, PEC and PH. The accuracy of these analyzes was tested and the results were acceptable within an error of 10 – 5. The seminar recommended strengthening groundwater management policies, improving groundwater recharge methods, using a range of methods to measure groundwater, raising awareness of the importance of Groundwater Conservation.