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Florescence forecasting method based on rolling weather forecast

A technology of weather forecasting and forecasting models, applied in forecasting, complex mathematical operations, instruments, etc., can solve problems such as lack of and inaccurate flowering forecasts, etc.

Pending Publication Date: 2021-12-07
NANJING FORESTRY UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] (1) At present, there is a lack of research on continuous forecasting of the flowering period of various plants
[0004] (2) In the existing flowering forecast research, there is a lack of easy-to-obtain data to obtain flowering forecast in a convenient way
[0005] (3) There are many meteorological factors that affect the flowering period of plants. The current research on the flowering period forecast model lacks the reference of multiple meteorological factors as variables, which makes the flowering period forecast inaccurate.

Method used

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  • Florescence forecasting method based on rolling weather forecast
  • Florescence forecasting method based on rolling weather forecast
  • Florescence forecasting method based on rolling weather forecast

Examples

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Embodiment 1

[0047] This embodiment is based on the flowering period forecasting system of Rhododendron albicans based on rolling weather forecast.

[0048] In the present invention, the meteorological factors quoted by the white-flowered rhododendron model in Nanjing in 1980-1995 show that the initial flowering period of white-flowered rhododendrons is mostly concentrated in late April, and the flowering period is concentrated in March and April, and the average daily average temperature is mostly lower than 10 degrees. The relevant meteorological data for the calculation of effective accumulated temperature at 5 degrees, so the historical data required for calculation include: the average effective accumulated temperature of ≥5°C from mid-February to mid-April in units of ten days, and ≥5°C from February to April in units of months Average effective accumulated temperature (hereafter referred to as effective accumulated temperature); select the data with better continuity from 1980 to 199...

Embodiment 2

[0061] This embodiment is based on a rolling weather forecast system for the early flowering and flowering period forecasting of 11 common woody ornamental plants in Nanjing.

[0062] Statistical statistics of meteorological factors cited in early flowering models of Jinzhonghua, crimson evening cherry, Pittosporum, viburnum, double-petaled deer, hydrangea, albizia, crape myrtle, camphora, eucalyptus and wintersweet from 1980 to 1995, and the history of the main statistics The data are the average effective accumulated temperature in units of ten days and the average effective accumulated temperature in units of months before the initial flowering period. Among them, the early flowering period of Admirallum and Scarlet Late Cherry are mostly concentrated in the first ten days of March-April, and the flowering period is concentrated in March and April. The average daily temperature is mostly lower than 10 degrees, and the relevant meteorological data are calculated based on the ...

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Abstract

The invention discloses a florescence forecasting method based on rolling weather forecast. The method comprises the following steps: pre-calculating an average effective accumulated temperature of common ornamental plants in a unit of ten days through florescence data and daily average temperature data of many years in history; establishing a forecasting model by a system by using a linear regression method; capturing weather forecast information of 30 days, calculating the average effective accumulated temperature of two ten days within 30 days; putting real-time weather data into the model, and displaying, in a centralized mode, plants to be bloomed and plants that are already bloomed, so as to dynamically update in real time florescence data, provide an optimal geographic information position for watching followers of the plants, provide a guide for tourists to watch the best blooming flowers at the proper time, and promote high-quality development of flower appreciation economy. According to the method, the plant florescence can be predicted only through daily average temperature data, the florescence forecast is accurately published, and more possibilities are provided for flower growers to match plants and beautify gardens.

Description

technical field [0001] The invention belongs to the technical field of plant florescence and data prediction, and in particular relates to a florescence forecast method based on rolling weather forecast. Background technique [0002] In recent years, the flowering forecast technology has attracted widespread attention in the academic circles, because the flowering forecast brings great convenience to production and life. In terms of agricultural production, improve the work efficiency of flower farmers, plan pollination, cultivation management and picking time in advance, and lay the foundation for research and control of flowering period technology; flowering period forecast weather services help tourism to create a flower appreciation economy, and give full play to local characteristics to carry out flower appreciation Flower activities, to achieve "accurate forecast, just for the perfect encounter." The practical value and ornamental value of flower plants coexist. Howev...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/20G06F17/18G06Q10/04G06Q50/02G06F119/12
CPCG06F30/20G06Q10/04G06Q50/02G06F17/18G06F2119/12
Inventor 谢晓宇张增信李宇洋陈志先严泓杰翟宇璇
Owner NANJING FORESTRY UNIV
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