A tissue culture early warning method based on lesion monitoring

Abstract

The invention relates to a tissue culture early warning method based on lesion monitoring, comprising: obtaining real-time monitoring image information of tissue culture monitoring points in a tissue culture room; preprocessing the real-time monitoring image information to obtain a preprocessed image, and then grayscale , to obtain a grayscale image; edge detection is performed on the grayscale image to extract the contour of the lesion, and then contour filtering and contour area growth analysis are performed in sequence to obtain the lesion analysis result; the lesion analysis result is sent to the user, if the result shows If it belongs to the lesion area, an early warning will be given. The present invention preprocesses, grayscales, and detects lesion on the collected tissue culture images through the server side, and according to the detection results, reminds the management personnel through mobile phone text messages, signal lights and PC terminals, and finds suspected germ-infected groups. According to the prompt information, the management personnel can specifically check whether there is tissue culture infected by bacteria in the alarm area, and perform corresponding operations.

Description

technical field [0001] The invention relates to the technical field of image recognition, in particular to a tissue culture early warning method based on lesion monitoring. Background technique [0002] Image recognition technology has been applied in various fields. At present, the relatively mature ones include fingerprint recognition, face recognition and intelligent transportation. It is also reflected in intelligent agriculture, map and terrain registration, natural resource analysis, weather forecast, environmental monitoring and physiological pathology research. and many other fields. In agriculture, such as the detection of crop diseases and insect pests, it is possible to quickly and effectively detect the conditions and growth of crop diseases and insect pests through image recognition technology. [0003] The application of the above-mentioned image recognition technology is mostly for the processing of naturally growing crops, while tissue culture is in a closed...

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Problems solved by technology

Moreover, there is currently no specific pest detection system for tissue culture, and most of them rely on manual inspection of pests and diseases, which makes it impossible to detect pests and diseases in time, and manual inspection requires a lot of manpower, and people themselves will bring bacteria in, which will increase the number of tissue cultures. Possibility of seedlings infected with germs

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