Agricultural Dynamic Data Management System and Method, and Information Processing Terminal

Abstract

The invention belongs to the technical field of agricultural production, and discloses an agricultural dynamic data management system and method, and an information processing terminal. The managementcomprises: a main control module, a display module, an oxygen content detecting module, a light intensity detecting module, a carbon dioxide content detecting module, a water level detecting module,a soil temperature detecting module, an information integration module and an information storage module. The invention measures the soil temperature through a soil temperature detecting module; integrates the information through an information integration module; stores the information through an information storage module; processes the information through a main control module; collects and displays the dynamic data of the agricultural production; and makes proper management after the information storage. It is very important for improving the productivity of agricultural production and better conducting agricultural production.

Description

technical field [0001] The invention belongs to the technical field of agricultural production, and in particular relates to an agricultural dynamic data management system and method, and an information processing terminal. Background technique [0002] At present, the existing technologies commonly used in the industry are as follows: [0003] At present, agricultural big data is a collection of data with extensive sources, diverse types, complex structures, potential value, and difficult to apply common methods to process and analyze after integrating its own characteristics such as agricultural regionality, seasonality, diversity, and periodicity. . Agricultural big data retains the basic characteristics of big data such as huge scale, diverse types, low value density, fast processing speed, high accuracy and high complexity, and extends and deepens the information flow within agriculture. At present, there is no suitable and good system capable of managing agricultura...

AI Technical Summary

Problems solved by technology

However, due to the use of PID control algorithm, it is easy to produce overshoot, and it does not have the ability to adjust parameters online, so the self-adaptive ability is poor

[0010] In the information integration of oxygen content and carbon dioxide content in the existing technology, the existence of information filtering is not conducive to automatic noise detection, poor self-adaptive ability, and contradiction between noise removal and filtering performance

Images