Method for measuring latency of multiple pesticide fog drops impacting leaf surfaces based on high-speed visual coupling contour feature extraction

Abstract

The invention discloses a method for measuring the latency of multiple pesticide fog drops impacting a leaf surface based on high-speed visual coupling contour feature extraction. Comprising the following steps: building a high-speed visual capture system, calibrating a high-speed camera system, collecting fog drop impact leaf surface images, preprocessing video images, selecting an ROI (Region of Interest) region, identifying pesticide fog drops, extracting pesticide fog drop contours, extracting pesticide fog drop centroids, and tracking and timing pesticide fog drops, so as to obtain the delay of multiple pesticide fog drops to impact the leaf surfaces. According to the invention, a quantitative analysis means is provided for optimizing pesticide spraying parameters, especially for controlling the pesticide application amount, optimizing the droplet spectrum distribution and blending the pesticide liquid content; the obtained measurement result has theoretical significance and application value for developing a precise pesticide application technology and improving the deposition efficiency of tea tree pesticide spray.

Description

technical field [0001] The invention belongs to the field of image processing and visual measurement, and in particular relates to a method for measuring the delay of multi-pesticide droplets hitting the leaf surface based on high-speed visual coupling contour feature extraction. Background technique [0002] The detection and tracking of high-speed moving targets is closely related to people's daily work and life. It has great potential in intelligent medical care, industrial quality inspection, robot tracking and navigation, sports events, mechanical test analysis, intelligent transportation, biological observation, film and television special effects, and military visual guidance. and its wide range of applications. Using high-speed vision technology, the image information of the target can be obtained by replacing the human eye with a high-speed visual sensor, and the image processing equipment can analyze and process the acquired image to obtain the image features of th...

AI Technical Summary

Problems solved by technology

However, in the process of pesticide spraying, the duration of the process of spraying droplets from the nozzle to hitting the plant leaves is extremely short, and the process of flying and hitting the leaves of pesticide droplets is microscopic, and the particle size of pesticide droplets is at the submillimeter level

The traditional method uses sensors for target detection and tracking, which has the problems of low accuracy and is limited by the size of the detection target; if conventional photography methods are used, it is impossible to capture and analyze the process of pesticide droplets flying and hitting the leaf surface

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