A method and system for intelligently identifying rice growth based on video monitoring

Abstract

The application discloses a method and system for intelligently identifying rice growth based on video monitoring, and belongs to the technical field of growth period prediction, which comprises the following steps: acquiring image data of rice by using a video monitoring device to extract a shooting height value of the rice; establishing a height prediction model to obtain a predicted height data set; using the predicted height data set and the shooting height value to evaluate the height dispersion degree of the rice to obtain an evaluation value; if the evaluation value is greater than a first threshold value, using an image recognition method to extract and output current growth period data and the shooting height value; if the evaluation value is less than or equal to the first threshold value, using a growth simulation method to generate and output current growth period data and a predicted height; and using the output data to generate a rice growth report. The application uses video monitoring combined with an intelligent algorithm, evaluates the height dispersion degree of the rice through a prediction model, selects an image recognition method or a growth simulation method to obtain growth period data, and can improve the efficiency and accuracy of rice growth identification.

Images