Intelligent orchard yield prediction system based on Internet of Things

Abstract

The invention discloses an intelligent orchard yield prediction system based on Internet of Things. The intelligent orchard yield prediction system consists of an apple orchard environment parameter collection platform and an apple orchard environment yield prediction subsystem, and achieves the detection of apple orchard environment microclimate parameters and the prediction of the yield. The apple orchard environment monitoring system effectively solves the problems that an existing apple orchard environment monitoring system does not accurately detect the apple orchard environment temperature and predict the yield according to the characteristics of nonlinearity, large lag, complex change and the like of the apple orchard environment temperature change, so that the accuracy and robustness of predicting the apple orchard environment temperature and yield are improved.

Description

technical field [0001] The invention relates to the technical field of automatic monitoring of agricultural environment, in particular to an intelligent prediction system for orchard output based on the Internet of Things. Background technique [0002] With the increase of apple planting area, the improvement of agrotechnical measures, and the increase of labor and economic input of fruit farmers, the yield of apples has increased significantly, but apples are one of the fruits that are very sensitive to meteorological conditions. At different stages of apple production, meteorological conditions have different impacts on apple production. The judgment of microclimate environment is a complicated process, which directly affects the accuracy of apple production forecast increase or decrease. Scholar Shen Shunli compared the correlation between key climatic factors and the predicted value of apple yield, and used the gray correlation analysis method to analyze the relationship...

AI Technical Summary

Problems solved by technology

[0003] The invention provides an intelligent prediction system for orchard output based on the Internet of Things. The invention effectively solves the problem that the existing apple orchard environmental monitoring system does not have the characteristics of non-linearity, large lag and complex changes according to the environmental temperature of the apple orchard. The ambient temperature is accurately detected and the yield is predicted, so as to improve the accuracy and robustness of predicting the ambient temperature and yield of apple orchards

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