IoT Based Automated Weather Report Generation and Prediction Using Machine Learning

Anubha Parashar
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引用次数: 16

Abstract

The weather can have great impact on lives. Weather changes can influence wide range of human activities and affect agriculture and transportation. The main aim of this paper is to monitor and report weather conditions so that one is informed beforehand and necessary actions can be taken to reduce the damage by any calamity by forecasting it. Here we are using various sensors in order to collect the data and previous data is used in order to train the system and with current data collection we do the prediction. We will be analyzing temperature, pollutants, humidity and pressure and will predict the weather. Existing models are expensive in contrast to ours and hence it will make monitoring local area feasible as it will be cheaper.
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使用机器学习的基于物联网的自动天气报告生成和预测
天气对生活有很大的影响。天气变化可以影响广泛的人类活动,影响农业和交通运输。本文的主要目的是监测和报告天气状况,以便人们事先了解情况,并采取必要的行动,通过预测灾害来减少损失。在这里,我们使用各种传感器来收集数据,使用以前的数据来训练系统,并使用当前收集的数据进行预测。我们将分析温度、污染物、湿度和压力,并预测天气。与我们的模型相比,现有的模型价格昂贵,因此它将使局部区域监测变得可行,因为它将更便宜。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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