Edible mushroom environment big data detection system

Abstract

The invention discloses an edible fungus environment big data detection system, which comprises an edible fungus environment parameter collection and control platform and an edible fungus cultivation environment big data processing subsystem, and is characterized in that the edible fungus environment parameter collection and control platform realizes detection, adjustment and monitoring of edible fungus environment parameters; the edible mushroom environment parameter big data processing subsystem comprises a parameter detection unit and an evaluation unit and is used for evaluating the edible mushroom environment; the method effectively solves the problems that an existing edible mushroom environment has no influence on the yield of the edible mushroom environment according to nonlinearity, large lag, large and complex area of the edible mushroom environment and the like of the change of the edible mushroom environment parameters, and does not predict the yield of the edible mushroom environment and accurately detect and adjust the edible mushroom environment parameters; therefore, the environmental yield prediction and the production management of the edible mushrooms are greatly influenced.

Description

technical field [0001] The invention relates to the technical field of detection and processing of edible fungus environmental parameters, in particular to an edible fungus environmental big data detection system. Background technique [0002] The growth of edible fungi has high requirements on environmental conditions such as temperature and humidity, medium moisture content, light, ventilation, etc. Relevant studies have shown that the normal growth of edible fungi such as oyster mushrooms, shiitake mushrooms, and fungus requires a medium moisture content of 60%- Between 70% and air environment humidity requirements between 80%-90%. Strictly controlling changes in the parameters of the edible fungi planting environment is an important basis for ensuring the quality and output of edible fungi. The traditional edible fungus planting process mainly relies on planting experience and simple testing methods and equipment to monitor the environment. When the planting environment ...

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Problems solved by technology

[0003] The invention provides a large data detection system for edible fungi environment, which effectively solves the problems of the existing edible fungus environment, such as non-linearity, large lag and large and complex edible fungus environmental area, which are not changed according to the parameters of the edible fungi environment. Influence, there is no prediction of the environmental output of edible fungi and accurate detection and adjustment of the environmental parameters of edible fungi, which greatly affects the environmental output prediction and production management of edible fungi

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