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Tea tree picking period prediction method based on Internet of Things technology

An Internet of Things technology and a prediction method technology, which is applied in the field of tea tree mining period prediction based on the Internet of Things technology, can solve the problems of large workload of tea investigation and unfavorable production arrangements, and achieve the improvement of tea production management level, low investment, and simplified meteorology. The effect of data collection indicators

Active Publication Date: 2019-07-12
无锡市茶叶品种研究所有限公司 +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, tea production is developing on a large scale. The area of ​​tea gardens is large, the bases are widely distributed, and there are many varieties of plants. The workload of investigation during the tea mining period is heavy, which is not conducive to production arrangements.

Method used

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  • Tea tree picking period prediction method based on Internet of Things technology
  • Tea tree picking period prediction method based on Internet of Things technology
  • Tea tree picking period prediction method based on Internet of Things technology

Examples

Experimental program
Comparison scheme
Effect test

Embodiment example 1

[0033] 1. Estimation calculation of meteorological indicators and mining accumulated temperature during the tea mining period

[0034] The cultivars Zhenong 139 and Fuding Dabaicha are specified as early-growing varieties in tea tree breeding, and the starting temperature of their effective accumulated temperature is 10°C. According to the five-day moving average method (that is, when the daily average temperature of any 5 consecutive days is greater than or equal to biological zero, select the first day in the first 5 days when the daily average temperature is greater than or equal to biological zero as the initial day) Determine the time of the first day when the biological zero temperature is stable, and calculate the effective accumulated temperature, but when the minimum temperature is lower than 0°C, the effective accumulated temperature is calculated from the next biological zero temperature that is stable.

[0035] Implementation Case The tea garden is located in Binhu...

Embodiment example 2

[0053] 1. Calculation of meteorological indicators and mining accumulated temperature estimation during the tea mining period

[0054] The cultivars Wuniuzao and Sucha 120 are designated as extra-early and early-growing varieties in breeding science, and the starting temperature of effective accumulated temperature is 8°C and 10°C, respectively. According to the five-day moving average method (that is, when the daily average temperature of any 5 consecutive days is greater than or equal to biological zero, select the first day in the first 5 days when the daily average temperature is greater than or equal to biological zero as the initial day) Determine the time of the first day when the biological zero temperature is stable, and calculate the effective accumulated temperature, but when the minimum temperature is lower than 0°C, the effective accumulated temperature is calculated from the next biological zero temperature that is stable.

[0055] Implementation Case The tea gar...

Embodiment example 3

[0074] 1. Estimation calculation of meteorological indicators and mining accumulated temperature during the tea mining period

[0075] The cultivar Meizhan is a mesozoic variety, and the starting temperature of the effective accumulated temperature is 10°C. According to the five-day moving average method (that is, when the daily average temperature of any 5 consecutive days is greater than or equal to biological zero, select the first day in the first 5 days when the daily average temperature is greater than or equal to biological zero as the initial day) Determine the time of the first day when the biological zero temperature is stable, and calculate the effective accumulated temperature, but when the minimum temperature is lower than 0°C, the effective accumulated temperature is calculated from the next biological zero temperature that is stable.

[0076] Implementation Case The tea garden is located in Yixing City, Jiangsu Province. Combining the meteorological data and min...

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Abstract

The invention belongs to the field of tea production and cultivation, and particularly relates to a tea tree mining period prediction method based on the Internet of Things technology. For a long timein spring tea production, when 20%-40% of tea trees have one bud and one leaf, the period is set as the picking period wherein the picking period is mainly determined by field observation. The investigation workload in the tea picking period is large, and production arrangement is not facilitated. Accorrding to the method, when 20%-40% of tea trees haveone bud and one leaf, corresponding tea treecanopy effective accumulated temperature is used as a mining period prediction index, agricultural meteorological parameters of observation points are collected in a tea garden in real time through the Internet of Things technology, the tea leaf picking period is predicted according to meteorological factor indexes of different types of varieties in the mining period, the investment is low, the operation is easy, the tea leaf production management level can be effectively improved, and economic benefits are improved. The method comprises the following steps: 1, calculating meteorological indexes and picking accumulated temperature estimation values in a tea picking period; 2, collecting agricultural meteorological parameters; and 3, predicting the tea picking period.

Description

technical field [0001] The invention belongs to the technical field of tea production and cultivation, and in particular relates to a tea tree mining period prediction method based on Internet of Things technology. [0002] technical background [0003] With the rapid development of science and technology, the Internet of Things technology has developed rapidly and has been widely used in all walks of life in society. Agricultural meteorological monitoring work has the characteristics of wide scope, many contents, and large amount of data. Through the access to the Internet of Things technology in the agricultural meteorological monitoring system, it can effectively solve the characteristics of complex geographical environment, high work intensity and long working hours in agricultural meteorological monitoring. It can collect and monitor agricultural meteorological parameters in different regions in a timely, accurate and targeted manner, improve the accuracy of data collect...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q10/04G06Q50/02G06F17/18
CPCG06Q10/04G06Q50/02G06F17/18Y02A90/10
Inventor 梅菊芬
Owner 无锡市茶叶品种研究所有限公司
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