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Grape cultivation method based on big data analysis

A cultivation method and big data technology, applied in the field of design fruit planting, can solve the problems of grape varieties not suitable for the geographical environment, uncertain cultivation scheme, and insufficient information

Inactive Publication Date: 2018-11-02
铜仁市万山区光保农业有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Because the cultivation of grapes has certain requirements on the geographical environment, the cultivation methods are different in different geographical environments. For those who are new to the field of grape cultivation, they are often not sure about the actual cultivation plan, and do not know how to find the information. , even experienced planting managers often do not want to accept the new high-quality grape planting methods, which leads to no improvement in the quality of the grapes
At the same time, when encountering corresponding problems in the process of planting grapes, I don’t know how to solve them. At the same time, when choosing grape varieties, the information I have is often not comprehensive enough, which leads to the selection of grape varieties that are not suitable for the local geographical environment, or the selected grape varieties. Grape varieties were chosen by most of the planting users that year, resulting in oversupply and poor sales results

Method used

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  • Grape cultivation method based on big data analysis

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0025] Obtain the background information of the grape planting plan of the search engine, extract the grape planting plan, and the search records of grape varieties purchased from it, and the grape planting plan includes: planting time, maturity time, soil conditions, humidity, temperature, light, fertilization timing and other data. The collected data also includes the above complete information that users actively upload to the database.

[0026] According to the characteristics of big data analysis, data incompleteness is allowed, and a large number of samples can also be used to ensure the authenticity of data analysis results. The collected data can be kept as complete as possible, and errors and missing parts of data are allowed.

[0027] Based on the collected data, an analysis database sample is established, the information is abstracted into a model, and the three parts of information, namely, geographical environment information, variety selection, and finished produc...

Embodiment 2

[0030] In this embodiment, through the grape growing environment parameter extraction system, firstly, extract the time data of grape optimal yield through search engine background data, and information data such as webpages, books, magazines, and connect to the meteorological data, geographic location data, Illumination time change data to generate optimal grape planting program data. It also includes the module of obtaining incomplete information, which obtains the data of fertilization timing, irrigation timing, harvesting timing, and pest control methods from limited data. The acquisition of this part of the data will cause data loss due to incomplete records. In order to make better use of Big data is analyzed, and the planting plan is supplemented and screened according to the characteristics of each stage of the grape planting cycle, so as to optimize the planting plan by combining big data analysis and traditional planting experience.

[0031] The following will be des...

Embodiment 3

[0035] In this example, the server collects data related to grape varieties and grape demand, specifically, changes in grape varieties over the years; data related to grape demand includes planting quantities and sales of grape varieties in various regions over the years.

[0036] By inputting relevant varieties, the client can push the production information and sales information of each variety to the client through the calculation of the background server, and give a trend curve of production and sales. The client can predict the recent demand for grapes through the changing trend of the curve, and reasonably select the best planting varieties and planting volume.

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Abstract

The invention provides a grape cultivation method based on big data analysis. Grape planting information based on geographical positions is collected, and various grape planting schemes and managementscheme data are summarized and analyzed. The method specifically comprises the step that data such as planting time, maturity time, soil conditions, humidity, temperature, illumination and fertilizing time, and data such as finished product harvesting time, the grape sweetness and the taste are collected. The optimal management scheme is provided for planters through a large amount of data analysis; on the premise that the experience of the planters in grape cultivation is not mature, a grape cultivation suggestion scheme can be obtained by inputting geographical position data and the data such as soil, illumination, humidity and temperature, and suggestions in the aspects of grape variety selection and planting difficulty can be obtained.

Description

technical field [0001] The invention relates to the field of fruit planting, in particular to a method for cultivating grapes based on big data analysis. Background technique [0002] In recent years, the consumption level of consumers has been increasing, and the demand pattern for fruits has also gradually changed, especially for grapes. The growth cycle of grapes begins in spring when the temperature rises to about 10 degrees Celsius. New shoots germinate and the first leaves appear, and then branches begin to grow. In May and June, petal formation and flowering and fertilization are carried out at the end of this period, and berries are formed a few days after flowering; this is the first stage of fruit growth. During the growing period of the vines in July and August, the berries develop, followed by fruit ripening. The skins of the red grapes are colored, while the white grapes lose their green color; this is the beginning of the fruit ripening period. When the gra...

Claims

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Application Information

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IPC IPC(8): A01G17/02
CPCA01G17/02
Inventor 杨天赐
Owner 铜仁市万山区光保农业有限公司
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