Identification method for sprouting conditions of wheat ears

Abstract

The invention discloses an identification method for sprouting conditions of wheat ears, which comprises the following steps: S1 collecting hyperspectral images of the wheat ears; S2 performing pretreatment to the hyperspectral images of the wheat ears; S3 synthesizing the hyperspectral images of the wheat ears after the pretreatment to obtain red green blue (RGB) images; S4 analyzing areas of the RGB images which operators are interested in, and obtaining average spectra of the areas which the operators are interested in; S5 judging whether the wheat ears sprout under a characteristic wave band; S6 calculating the proportion of sprouting areas in the whole wheat ear area; S7 extracting spectral reflectivity of the sprouting areas, and judging the sprouting degree of the wheat ears; and S8 calculating the sprouting grade according to the proportion of the sprouting areas in the whole wheat ear area and the spectral reflectivity. The identification method adopts the hyperspectral image technology to perform wheat ear sprouting detection on the wheat ears normally harvested in the fields, and rapid screening of wheat ear sprouting can be achieved.

Description

technical field [0001] The invention relates to the technical fields of crop breeding and image recognition, in particular to a method for recognizing wheat ear germination. Background technique [0002] Wheat ear germination refers to the phenomenon that grains germinate on the ear when rainy weather is encountered before harvesting. Ear germination not only affects yield, but also seriously affects quality (especially processing quality) and seed value. Wheat fields with visible ear germination generally have a yield reduction of about 10%, and in severe cases, the harvest will fail. Wheat ear germination not only significantly reduces wheat yield, but also affects its processing, nutritional quality and seed value, resulting in serious economic losses. Therefore, the identification of wheat ear germination is of great significance for wheat breeding. In some wheat areas, wheat often encounters continuous rainy weather before harvest, which leads to ear germination. In r...

AI Technical Summary

Problems solved by technology

[0004] Among them, the method of artificial visual identification of wheat ear germination is subject to large subjective factors in the early stage, and the standardization of identification results is poor; biochemical methods are used for destructive detection, but these methods are too complicated or the reliability of identification indicators is poor, and the activity of α-amylase The measurement process is relatively complicated and the efficiency is low; the germination of petri dish seeds requires a large experimental space, and water management and continuous observation and monitoring are required, lacking non-destructive and continuous monitoring technical means

Images