Device and method of intelligent light supplementation of flammulina velutipes in different growth periods based on convolutional neural network

Abstract

The invention relates to a device and method of intelligent light supplementation of flammulina velutipes in different growth periods based on a convolutional neural network. The device of light supplementation is composed of a bearing device, a camera (the revolution is 1920*1080), a full spectrum LED lamp, a computer, a flammulina velutipes culture medium and a plastic pipe. The method comprises the steps of using image samples of massive manually labeled flammulina velutipes in the different growth periodss to train the convolutional neural network to obtain a trained classification model; using the camera to shoot growing flammulina velutipes in a planting room to conduct sampling, and using the trained model to judge which growth periods the flammulina velutipes samples belong to; then using the computer to control the light color of the full spectrum LED lamp according to the requirement of flammulina velutipes for light quality in the growth period, so that the light color of the full spectrum LED lamp meets the requirement most suitable for light quality of flammulina velutipes in the current growth period, and finally a promotion effect is played on the growth of flammulina velutipes by controlling the light quality to achieve the production aim of planting personnel. According to the device and method of the intelligent light supplementation of flammulina velutipes in the different growth periods based on the convolutional neural network, the yield of flammulina velutipes is increased, the quality of flammulina velutipes is improved, so that producers make a profit, and consumers are benefited.

Description

technical field [0001] The invention relates to the technical fields of machine learning, image classification and Flammulina velutipes planting, and relates to a device and method for intelligently supplementing light in different growth stages of Flammulina velutipes based on a convolutional neural network. Background technique [0002] The mycelium of Flammulina velutipes is off-white, fluffy. The fruiting body is clustered, and the cap is a small semicircular body at the beginning, and gradually flattens after growing up, with a diameter of 2 to 8 cm, smooth surface, white, yellowish white or light tea brown in color. The flesh of the bacteria is white, and Flammulina velutipes has a high medicinal and therapeutic effect. Studies have shown that a substance contained in Flammulina velutipes has a good anti-cancer effect. Flammulina velutipes are rich in nutrition and are commonly used ingredients in families or restaurants. Has a very broad market. If the grower of F...

AI Technical Summary

Problems solved by technology

[0003] In the traditional planting of Flammulina velutipes, many manufacturers do not use colored light to promote growth, or some manufacturers use colored masks to place them on top of Flammulina velutipes. This method requires a lot of waste of manpower and material resources, and the number of Flammulina velutipes in each factory is huge. It is very cumbersome to mask it with a monochrome mask. If it is cultivated in the dark without light or with monochromatic light, it will not be able to improve the yield and quality.

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