Recognition Methods of Deer-Eating Plant Cells Based on YOLOv5
There are different numbers of the herds of red deer in the forest areas of Daxing'an Mountains,Xiaox-ing'an Mountains,Laoye Mountains and Wanda Mountains in Heilongjiang Province.In order to protect the nor-mal survival and reproduction of the red deer population,staff in related fields have made a lot of efforts.This paper adds the attention mechanism module to the original YOLOv5 model,uses DIoU_Loss as a loss function,and then proposes a recognition method of deer-eating plant cells.This method can extract the characteristics of various plant cells in the faeces of red deer,and identify and classify the input data by establishing a neural network model,so as to achieve the purpose of quickly identifying the types of plant debris in the faeces samples of red deer.This method can help staff in relevant fields to quickly identify the species,quantity and composition of deer-eating plants,and improve analysis efficiency and the accuracy of deer population monitoring,so as to provide a new means and method for deer population monitoring.
万方数据
维普
