利用随机森林算法控制天气相关任务

Shivam Mishra, Aakash Shukla, S. Arora, Himandhu Kathuria, Mandeep Singh
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引用次数: 0

摘要

各种任务和工作都直接或间接地取决于天气条件。农业和工业等部门主要取决于天气条件。天气状况也被用来警告自然灾害。这就是需要准确的天气预报来控制依赖于天气的任务或根据天气预报为这些任务做出决策的原因。使用正确的天气参数值对天气进行预测称为天气预报。本文采用天气数据集进行训练,然后利用随机森林算法对天气条件进行预测,以控制直接或间接依赖于这些天气条件的不同任务。使用的天气参数是温度,压力和湿度,在本研究中采取的任务是灌溉,与温度和湿度相关的健康结果。使用硬件设置作为实时气象站,将天气数据发送到云平台上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Controlling Weather Dependent Tasks Using Random Forest Algorithm
A variety of tasks and works are depend directly or indirectly on the weather conditions. Sectors like agricultural sectors and industrial sectors are principally dependent on weather conditions. Weather conditions are also used to warn about natural disasters. These are the reasons that an accurate weather forecast is required to control the tasks dependent on the weather or to make decisions for these tasks according the weather forecast. The prediction of the weather using the right values of weather parameters is known as weather forecast. In this paper dataset for weather is taken for the training process and then random forest algorithm is used to predict the weather conditions to control different tasks which are dependent on these weather conditions directly or indirectly. The weather parameters used are temperature, pressure and humidity and the tasks which are taken in this study are irrigation, heath outcomes related to temperature and humidity. A hardware setup is used which works as a live weather station which sends the weather data on cloud platform.
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