A grain seedling intelligent management and culture method and system

Abstract

The invention discloses a grain seedling intelligent management and culture method and system. The method comprises the steps that data, collected by a soil moisture content monitor in real time, of different soil depths are collected; Real-time meteorological data including air temperature, relative humidity, wind speed, wind direction, rainfall, solar radiation and atmospheric pressure change data collected by the meteorological station in real time are received and corrected; the obtained data is compressed through linear fitting, and comparative analysis processing is carried out on the data and original data in a background big database; And the data subjected to the comparative analysis processing is provided to a background big database, one or more schedule tables are returned by the background big database according to the automatically generated retrieval type, and the one or more schedule tables are sent to the APP software of the user terminal. The method has the main beneficial effects that the corresponding management cultivation can be carried out on the grain seedlings in time, the normal growth of the grain seedlings is ensured, and the effective coverage and dynamic management of greening management are effectively realized. And meanwhile, large-area damage and necrosis of the seedlings under extreme weather conditions are avoided.

Description

technical field [0001] The present invention relates to the technical field of landscaping, in particular to a method and system for intelligent management and maintenance of seedlings. Background technique [0002] Urban gardens are rapidly developing in the direction of smart gardens, and smart gardens need to use "Internet +" thinking to establish a large database of smart gardens, connect humans and nature in a smart way, and achieve mutual perception, mutual knowledge, and mutual understanding between humans and nature. interactive. [0003] The garden database covers a wide range of content and can be obtained in various ways. Faced with a series of common problems in gardens, at present, we use manual regular inspections, discover problems, collect information and report, and then go through the traditional methods of professional decision-making, feedback, implementation, and finally feedback and summary, which is time-consuming and labor-intensive, and information ...

AI Technical Summary

Problems solved by technology

Faced with a series of common problems in gardens, at present, we use manual regular inspections, discover problems, collect information and report, and then go through the traditional methods of professional decision, feedback, implementation, and finally feedback and summary, which is time-consuming, laborious, and information lags behind. , processing delay, it is difficult to achieve effective coverage and dynamic management of green management

At the same time, it is impossible to know the soil temperature, soil humidity, PH value, light intensity, sunshine hours and precipitation at different soil depths in time, and it is impossible to manage the normal growth of trees

Especially when encountering extreme weather, due to the failure to have accurate and timely weather forecasts and the failure to take warm measures for trees in advance, it is easy to cause large areas of trees to suffer from frostbite and freeze to death.