Jujubes are a crucial characteristic industry in China. Predicting jujube production in various regions of China is significant to developing the jujube industry. This study aims to predict jujube yields across China by machine learning and optimize water‐nitrogen applications to achieve the highest yields. We utilized four machine learning methods (i.e., linear regression, support vector machine, ensemble learning and Gaussia...