Big data-based plant type selection method

A kind of plant species and big data technology, applied in data processing applications, instruments, calculations, etc., can solve the problems of time and cost waste, solar energy waste, and easy breeding of weeds, etc., to restore soil structure, improve soil fertility, maintain productivity effect

Inactive Publication Date: 2017-05-24
INNER MONGOLIA M GRASS ECOLOGY & ENVIROMENT GRP CO LTD
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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 sola

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  • Big data-based plant type selection method

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[0019] In order to make the objectives, technical solutions and advantages of the present invention clearer, the following further describes the present invention in detail with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present invention, but not to limit the present invention.

[0020] Such as figure 1 Or as shown in 2, a method for plant species selection based on big data includes the following steps:

[0021] Step 1: Establish various thematic maps of the target area: Collect data on temperature, windy days, sunshine hours, frost-free period, humidity, rainfall, soil organic matter content, soil trace element content and soil type in the target area, and unify the data format , Establish a unified coordinate system, draw the thematic map of temperature, thematic map of strong wind days, thematic map of sunshine hours, thematic map of frost-free period, thematic map ...

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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...

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Application Information

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IPC IPC(8): G06Q50/02
CPCG06Q50/02
Inventor 王召明纪大才邢旗王保林
Owner INNER MONGOLIA M GRASS ECOLOGY & ENVIROMENT GRP CO LTD
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