Advanced Irrigation and Cultivation System Based on Machine Learning in IOT Environment

A. Chaugule, Poonam Gupta
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Abstract

The Internet of things is a contemporary technology that acknowledges the amount of data amassed over time by multiple sensors, with a variety of uses. The IoT techniques drive results in high volume, real-time data streams that are grounded on an application’s features. Agriculture and irrigation are the most fundamental industries in the modern world. As the developments in machine learning (ML) and the internet of things, researchers have been able to implement this automation in agriculture to the advantage of farmers (IoT). Machine Learning helps farmers to maximize output by addressing mineral deficiencies, managing pests, enhancing crop yields, measuring humidity, temperature, soil moisture, water levels and fostering more sustainable agricultural practices.
物联网环境下基于机器学习的先进灌溉栽培系统
物联网是一项当代技术,它承认多个传感器随着时间的推移积累的大量数据,具有各种用途。物联网技术驱动基于应用程序功能的大容量实时数据流。农业和灌溉是现代世界最基本的产业。随着机器学习(ML)和物联网的发展,研究人员已经能够在农业中实现这种自动化,以造福农民(IoT)。机器学习通过解决矿物质缺乏问题、管理害虫、提高作物产量、测量湿度、温度、土壤湿度、水位和促进更可持续的农业实践,帮助农民实现产量最大化。
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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