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Since forest and fruit wood borer insects are very harmful, and the formed galleries are complex and not easy to observe, the 3D reconstruction and visual prediction simulation of their galleries are of great importance in agricultural and forestry research. A single image-based 3D reconstruction and visualization method is proposed. The method is divided into two steps: (1) photographing the complete insect galleries on different sample wood segments, correcting the images to obtain the complete insect tract outline, and then redefining the height of model expansion based on the distance from the outline to the midline of the outline via the sketch-based reconstruction method to reconstruct the 3D geometric model of insect tracts; (2) setting the influencing factors, such as forest and fruit wood borer pest species, host plants and insect population density, and simultaneously judging the newly added sample points and updating the original skeleton points according to the category of sample points and the comprehensive consideration of influencing factors, so as to obtain the changes of insect gallery structure under different conditions and achieve the predictive simulation of insect tract structure. We found that modeling 3D wood borer galleries by different pests on different host plants can be achieved. Compared to the hand drawing method, our method can obtain 3D models in a very short time, and the experimental models are all reconstructed within 1.5 s. The predicted variation in the range of insect tracts indicate that it was inversely proportional to the population density and positively proportional to the moth-eating ability of the pests, indicating that the method reflects the relationship between the range of insect tracts and the influencing factors. The proposed method provides a new approach to the study and control of wood borer galleries in the forest and fruit industry. In conclusion, we provide a method to reconstruct and predict the wood borer galleries in three dimensions.

agronomy

Three-Dimensional Reconstruction and Predictive Simulation Algorithm of Forest and Fruit Wood Borer Galleries Based on Two-Dimensional Images and Different Influencing Factors