茶树气象环境分析数据

在茶园部署智能户外气象站，并通过物联网将数据上传到服务器，为茶树种植管理提供科学的气象数据，通过智能分析茶树气象环境阈值和气象变化趋势，为茶树种植决策提供参考，为农业现代化提供服务。1.数据来源 在茶园部署智能户外气象站，监测气象数据。采集风速、雨量、大气温度数据，同时采集数据字段包括上传时间、设备id。 2.数据处理及应用 2.1茶树气象智能预警 基于茶树专家给出的茶树气象环境阈值（其中设定风速阈值为7，雨量阈值为10，大气温度阈值为35），当测试值大于阈值时，对应的预警值为1；反之，返回0。 通过茶园气象环境的异常智能预警，可实时监测和识别茶园气象环境的异常情况，及时调整茶园管理策略及应对措施，帮助茶园管理者更好地应对气象灾害和异常气象条件，提高茶园管理的效率和茶叶产量，保持茶园生产的可持续性和稳定性。 2.2茶园气象变化趋势 计算每日风速、雨量、大气温度的变化率。先计算风速、雨量、大气温度的每日均值，（每日均值—前一天均值）/前一天均值，即得到变化率。 通过分析茶园气象数据的变化率，茶农和茶园管理者可以更好地了解气象条件的变化趋势，以采取相应的茶园管理措施，监测气象数据，设置气象数据异常智能预警，监测数据变化趋势，为种糯稻植决策提供参考，为农业现代化提供服务。

Smart outdoor weather stations are deployed in tea plantations, with data uploaded to servers via the Internet of Things (IoT). This work provides scientific meteorological data for tea tree planting management, offers references for tea planting decision-making, and supports agricultural modernization through intelligent analysis of tea tree meteorological environment thresholds and meteorological change trends.
1. Data Source
Smart outdoor weather stations deployed in tea plantations are used to monitor meteorological data. Collected data includes wind speed, rainfall, and atmospheric temperature, along with data fields such as upload time and device ID.
2. Data Processing and Applications
2.1 Intelligent Early Warning for Tea Tree Meteorological Conditions
Based on the tea tree meteorological environment thresholds provided by tea planting experts (the set thresholds are: wind speed threshold = 7, rainfall threshold = 10, atmospheric temperature threshold = 35), if the measured value exceeds the corresponding threshold, the corresponding early warning value is 1; otherwise, it returns 0. Through the intelligent early warning of abnormal meteorological conditions in tea plantations, abnormal situations in the tea plantation's meteorological environment can be monitored and identified in real time. Tea plantation managers can timely adjust management strategies and response measures, better cope with meteorological disasters and abnormal meteorological conditions, improve the efficiency of tea plantation management and tea yield, and maintain the sustainability and stability of tea plantation production.
2.2 Trends in Tea Plantation Meteorological Changes
The change rates of daily wind speed, rainfall, and atmospheric temperature are calculated. First, the daily average values of wind speed, rainfall, and atmospheric temperature are computed, and the change rate is obtained using the formula: (Daily Average - Previous Day's Average) / Previous Day's Average. By analyzing the change rates of tea plantation meteorological data, tea farmers and plantation managers can better understand the changing trends of meteorological conditions, take corresponding tea plantation management measures, monitor meteorological data, set up intelligent early warning for abnormal meteorological data, and monitor data change trends, so as to provide references for tea planting decision-making and services for agricultural modernization.

搜集汇总

数据集介绍

特点

茶树气象环境分析数据集包含65536条记录，涵盖风速、雨量、大气温度等气象数据及其预警和变化率信息，主要用于茶园气象监测和茶树种植管理决策支持。