Method for acquiring high-throughput phenotypic information of flammulina velutipes

Abstract

The invention discloses a method for acquiring high-throughput phenotypic information of flammulina velutipes. According to the method, flammulina velutipes sporocarp sampling, image scanning, machinevision recognition and an artificial intelligence algorithm are adopted; the pileus nearly-circular rate, the pileus area, the pileus attachment point and the middle axle distance of the flammulina velutipes sporocarp are automatically calculated on a large scale through a sporocarp cutting and scanning image; an image segmentation cutting method is used for automatically measuring the length andwidth data of mushroom stems on a large scale, and the standard color distance between flammulina velutipes pilei and the mushroom stems is automatically measured on a large scale based on standard flammulina velutipes sporocarp image color information, so that flammulina velutipes sporocarp phenotypic information is obtained on a large scale. According to the method, a machine vision recognitionalgorithm and a deep learning model are adopted, so that manual operation in flammulina velutipes breeding work is reduced, errors and random errors of a measurement system are reduced, and the reliability of test data is improved.

Description

technical field [0001] The invention belongs to the technical field of Flammulina velutipes breeding, and in particular relates to a method for acquiring high-throughput phenotypic information of Flammulina velutipes. Background technique [0002] Flammulina velutipes (English name: Enoki, Gold mushroom) is a fungus belonging to the family Trichomonas genus Chrysanthemum. It is a kind of edible fungus widely cultivated in the world, and its domestic production and sales rank among the most edible fungi. Compared with other edible fungi, Flammulina velutipes has a higher amino acid content, especially the highest content of lysine, and is known as "medicine and food fungus". Due to the small size of Flammulina velutipes, they are not picky about nutrients, but they are not picky about the temperature and humidity, light and CO of the growth environment. 2 The concentration requirement is high, so the most suitable production method is industrial cultivation production, and i...

AI Technical Summary

Problems solved by technology

However, in the field of Flammulina velutipes breeding and phenotyping research, manual detection and analysis are mainly used at present. High-throughput phenotyping technology using machine vision or sensory detection has not been reported, and related intelligent algorithms are rarely studied.

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