The invention relates to a prediction method, in particular to a
pinus koraiensis pine cone yield prediction method which comprises the following steps: S1, unmanned aerial vehicle oblique photography, S2,
image processing, S3, orthographic splicing, S4, pine cone recognition and S5, yield prediction. According to the method, a large area can be covered in a short time, Korean pine image data can be rapidly acquired, indoor
data analysis is carried out, the acquisition cost is only one tenth of that of traditional manual investigation, and almost no
personnel safety risk exists. According to the method, the unmanned aerial vehicle is adopted to collect data, the efficiency is high, investigation can be carried out in a slightly allowed
aerial photography window period in weather, the flexibility is high, the influence of topographic elements and accumulated
snow elements is small, and the adaptability is high. The method comprehensively investigates the measurement area, identifies the positions and number of pinecones through an
algorithm, greatly reduces manual intervention, and improves the investigation precision.