 هنانا مشكلة هي الأساسية هي مشكلة المياه كانت المياه عام 25 متر و30 متر حفر الأبار أو 3 سنين الماضيين تم الجفيف انزلنا لحدود الأربعمية وخمسين ماضير اللي هو عنا كروم عينيب انتاز عيد لأنه سنتان الماضيين ما قدرنا روينها لذلك الماضيين الماضيين الماضيين الماضيين أكثر than 85% of the water used on the planet on land is used by agriculture and many people don't know that The problem is that most farmers do not know what the actual irrigation requirement is most farmers in our region they have smartphones they're familiar with this type of technology so I thought about what if we can bring it to the farmers phone with a smart app in which the farmer can just pinpoint his field and then a number will come up telling him how much he needs to irrigate I'm an agriculture engineer I'm an irrigation engineer and also a remote sensing specialist so this is what I like to do this is what I can do best Our project has to do with predicting water use metrics for use by farmers Our machine learning model took as predictors conditions such as wind speed relative humidity air temperature land surface temperature and DVI metrics and learned the highly complex associations between these predictor variables We've managed to Google Cloud Platform technologies for high volume scraping of weather variables We've used shallow models as well as deep learning models to try and explore the complex interactions between these variables and the evapotranspiration metric With the help of this accelerator program with Google we were introduced to all of this spectrum of cutting edge technology advances in how to bring a solution to the people's level On the contrary, we are excited because first of all, we are providing a solution to our financial situation we are providing a solution to our problems and secondly, we are providing a solution We don't want to see any farmer who has a big uncertainty in applying water to his land So we want to improve the existing knowledge of the farmers with the use of these scientific products so that the farmers would be able to provide their water more efficiently