Optimization and Evaluation of a Bacterial Spot of Stone Fruit Disease Model in Chinese Peach Orchards

) of 0.88, an average mean absolute error of 3.19, an average root mean square error of 3.34, and a slight overestimation (coefficient of residual mass = 0.098). Wetness duration and mean temperature during the period play significant roles in the model; a shorter wetness duration resulted in a lower incidence in Beijing in 2023 compared with other years. This study demonstrates that the model can be an effective tool for determining the warning of the incidence of bacterial spot of stone fruit disease and helping peach growers in China control this disease.