Early warning method and device for regional rice drought green disease based on unmanned aerial vehicle inspection

The embodiment of the invention provides an unmanned aerial vehicle routing inspection-based rice regional drought green disease early warning method and device, and the method comprises the steps: carrying out the routing inspection of a rice region through an unmanned aerial vehicle, obtaining an image sequence, obtaining the RGB three-channel image of each image in the image sequence, and reserving an RG two-channel image matrix; calculating an R channel matrix mean value of each image in the RG two-channel image matrix, and calculating a mean value and a variance of the R channel matrix mean values; based on the mean value and the variance of the R channel matrix mean value and according to a preset omega value, calculating and identifying a growth anomaly region, and based on the growth anomaly region and according to a set gradient segmentation threshold t, carrying out gradient segmentation on the green channel image of the growth anomaly identification region to obtain a mark matrix; and calculating a