Portable Autonomous Rain Prediction Model Using Machine Learning Algorithm

V. Abhyankar, A. Singh, Poulami Paul, Aryan Mehta, Dr. S. Vidhya
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引用次数: 2

Abstract

In this paper we propose to create an Arduino based weather forecasting system using various sensors. The objective of this paper is to present to you a portable weather monitoring and rain forecasting system. Weather refers to the conditions of the atmosphere by measuring day to day temperature changes and describes various attributes of the troposphere [1]. While climate refers to an average over vast ranges of time [2]. With advancement of technology the act of automating weather monitoring is not only possible but also beneficial. This system will be of interest and use to weather enthusiasts and companies or individuals whose work depends on weather conditions. For example this system will be helpful in agriculture for monitoring the weather and giving warnings when the weather conditions become adverse to the planted crops. Some sports depend specifically on the weather and this system can be used for aiding sportsmen who participate in such sports.
基于机器学习算法的便携式自主降雨预测模型
在本文中,我们提出创建一个基于Arduino的天气预报系统,使用各种传感器。本文的目的是向您介绍一个便携式天气监测和降雨预报系统。天气是指通过测量每天的温度变化来描述大气的状况,并描述对流层的各种属性[1]。而气候指的是大范围时间内的平均值[2]。随着技术的进步,自动化天气监测不仅是可能的,而且是有益的。这个系统将对天气爱好者和公司或个人的工作取决于天气条件感兴趣和使用。例如,该系统将有助于农业监测天气,并在天气条件对种植的作物不利时发出警告。有些运动特别依赖于天气,这个系统可以用来帮助参加这些运动的运动员。
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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