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.