Digital detection method and system for predicting drug resistance of transgenic maize

Abstract

The invention discloses a digital detection method and system for predicting drug resistance of transgenic maize, and relates to the technical field of maize variety drug resistance detection.The digital detection method comprises the steps of acquiring RGB images, three-dimensional point cloud data and chlorophyll relative content of maize plants after drug spraying at the current moment; calculating a pixel ratio and morphological characteristics according to the RGB image and the three-dimensional point cloud data; inputting the detection parameters of the corn plant at the current moment into the series model to predict the detection parameters at the next moment, further obtaining a detection parameter change curve chart of the corn plant at the next time period, and determining the drug resistance characteristic of the corn plant according to the detection parameter change curve chart; wherein the detection parameters comprise chlorophyll relative content, pixel ratio and morphological characteristics; and inputting the detection parameters of the corn plant at the current moment into the parallel model to predict the variety of the corn plant. According to the invention, rapid screening and performance evaluation of the drug-resistant transgenic maize variety can be realized.

Description

technical field [0001] The invention relates to the technical field of detection of drug resistance of corn varieties, in particular to a digital detection method and system for predicting the drug resistance of transgenic corn. Background technique [0002] In today's increasingly serious food security problem, corn, as one of the important food crops in our country, its output is related to the stability of the society, the prosperity of the economy and the strength of the country's comprehensive national strength. The harvest of maize is not only related to the genotype, but also affected by the complex environment. In other words, the excellent genotype of maize can be fully expressed only under suitable environmental conditions. Among them, weeds in the corn growth environment have tenacious vitality and often compete with corn for limited resources such as light, water, nutrients, and inorganic salts. [0003] Therefore, herbicides become a necessity in agricultural p...

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Problems solved by technology

Among them, the determination of morphological characteristic parameters such as plant height, leaf length, and leaf width is mostly based on manual measurement, which is time-consuming, laborious, long detection cycle, and low efficiency.

The invention patent with publication number CN106576829A discloses a method for identifying glyphosate-resistant corn varieties. The method takes corn seeds as objects, and determines whether the test seeds are resistant to glyphosate by testing the changes in physiological and morphological indicators of corn seeds. Although this method has low requirements on the surrounding environment and a short test period, due to the complex and changeable environment in the growth process of corn, the final performance of pesticide resistance is not completely consistent with that of seeds.

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