Method for constructing straw compost organic matter content prediction model based on temperature and humidity conditions

Abstract

The method comprises the following steps: 1, measuring the organic matter content of the straw compost, and obtaining organic matter content data by measuring the organic matter content of the straw compost; 2, acquiring temperature and humidity data, and measuring the temperature and humidity data in the straw compost through a temperature sensor and a humidity sensor; 3, determining a regional forecasting conceptual model, and preliminarily determining the regional forecasting conceptual model according to the measured temperature and humidity data; and 4, finally determining a regional forecasting analysis model, and determining the final regional forecasting analysis model according to the organic matter content data and the temperature and humidity data of the straw compost. The model established on the basis of the detection results of the content of organic matters in more than eight months in the past in one region and the temperature and humidity data of the same soil is simple and practical, parameters are easy to obtain, the forecasting precision is high, and the model can represent the condition of one experimental field.

Description

technical field [0001] The invention belongs to the field of biomass fermentation and composting, in particular to a method for constructing a prediction model of organic matter content in straw composting based on temperature and humidity conditions. Background technique [0002] Organic matter content is an important indicator to measure the quality of straw compost, but the organic matter content test is relatively difficult for producers who do not have laboratory testing conditions. The fermentation process of straw composting generally speeds up or slows down with the change of compost temperature and water content. Prediction will provide producers with a simple method for judging the organic matter content of compost, and provide an important management tool for better fermentation of compost and ensuring the quality of compost. Contents of the invention [0003] In view of the deficiencies in the prior art, the purpose of the present invention is to provide a met...

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Problems solved by technology

[0003] Aiming at the deficiencies of the prior art, the purpose of the present invention is to provide a method for constructing a prediction model of the organic matter content of straw compost based on temperature and humidity conditions, so as to solve the current problems of difficulty and high cost in detecting the organic matter content of straw compost

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