Abstract: ObjectiveThis paper proposed a method for estimating per plant yield of peach based on ordinary digital images to provide reference for realizing high-accuracy and low-cost peach production estimation.MethodZhangshan peach orchard in Chuzhou,Anhui was taken as the experimental area.A digital camera was used to shoot selected peach individual plants from the northwest and southeast directions at mature period.The fruit information was extracted through improved partitioning algorithm and characteristic space optimization,and plaque number,perimeter and area were se-lected as the characteristic parameters to estimate the yield of peach per plant.ResultThe results showed that the mode-ling of the sum of plaques photographed bi-directionally(y=0.9748x+0.3995)had the highest accuracy,the determinant co-efficient between the predicted value and the actual value(R2)was 0.9049,and root mean square error(RMSE)was 0.21. But the number of plaques shot from the northwest was the worst for modeling parameters with R2=0.0687 and RMSE=0.64.ConclusionThe results prove that the number of plaques can be extracted by ordinary digital images as feature pa-rameters to construct an estimation model,and the yield of mature fruit trees can be predicted with high precision.This method is scientific and enjoys application prospects.