Big data-based plant type selection method

Abstract

The invention discloses a big data-based plant type selection method. The method comprises the following steps of: collecting meteorological data and soil data in a target region; drawing various thematic maps; and establishing ecological big data so as to determine regions fit for the growth of plants, judge whether interspecific competition exists between target plants and native plants or not and then select other plants suitable for intergrowth. According to the method disclosed by the invention, a large number of ecology-related data is divided according to types and then integrated together; regions suitable for the growth of plants are rapidly divided by means of a big data platform according to the weather and soil information, so as to grasp the native plants of the regions; and the ecological characteristics of the plants are combined with the history big data of the local soil and weather to predict and judge whether a competition relationship exists or not, so as to finally correctly, efficiently and scientifically collocate the plants, effectively lighten the competition between plant interspecies and soil mineral nutrient elements, and enable various nutrients in the soil to be sufficiently utilized.

Description

technical field [0001] The invention relates to a method for selecting plant species based on big data. Background technique [0002] In the traditional process of selecting plant species for plant matching, business personnel need to go to the local area in advance to understand and collect plant ecological data, such as soil organic matter composition, trace element surveys, surveys, and sometimes need to purchase some meteorological and soil data from various departments. , vegetation, etc. historical data and latest data. This kind of scattered and non-centralized storage of data causes great waste of time and cost for enterprises, as well as low efficiency of technical personnel. On the other hand, in the target area, the disadvantage of planting one kind of plant alone is that the time and land are not fully utilized, and weeds are easy to grow, and the solar energy and water and nutrients in the soil are also wasted to a certain extent. When planted at the same time...

AI Technical Summary

Problems solved by technology

This kind of scattered and non-centralized storage of data causes great waste of time and cost for enterprises, as well as low efficiency of technical personnel.

On the other hand, in the target area, the disadvantage of planting one kind of plant alone is that the time and land are not fully utilized, and weeds are easy to grow, and the solar energy and water and nutrients in the soil are also wasted to a certain extent. When planted at the same time, they usually affect each other's growth. Plants sometimes compete for space and resources, causing each other to inhibit each other. In the end, one plant often gains the upper hand while the other is inhibited or even eliminated.

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