4.4 Article

IoT based smart agrotech system for verification of Urban farming parameters

期刊

MICROPROCESSORS AND MICROSYSTEMS
卷 82, 期 -, 页码 -

出版社

ELSEVIER
DOI: 10.1016/j.micpro.2021.104025

关键词

Smart irrigation system; Smart agrotech system; Internet of things; Sensors; ESP8266 module; DHT11; Think Speak

向作者/读者索取更多资源

Recent intelligent technologies such as the Internet of Things and computer vision have facilitated farming activities, especially in urban areas. An IoT-based Smart AgroTech system proposed in this paper monitors critical farming parameters like humidity, temperature, and soil moisture, enabling intelligent irrigation control and providing advantages over conventional methods in future cities.
The recent seen intelligent technologies like the internet of things (IoT), computer vision etc. facilitates farming activities and also provides flexible farm operations. On the other side, farming has become feasible even in urban areas, especially building roofs, open gardens, and indoor agriculture. In this context, farm management and appropriate monitoring of farm parameters are now indispensable for productive farming in smart cities or rural areas. In this paper, an IoT based Smart AgroTech system is proposed in the context of urban farming that considers humidity, temperature, and soil moisture as necessary farming parameters. The proposed system decides whether the irrigation action should begin or stop depending on the farming land condition and provides the monitoring facility and remote control to the farm owner. The system's reliability is verified by determining the error percentage between actual data and observed data at different observations. The average error rate for humidity and soil moisture is below 3% and for temperature is below 1.5%. The system ascertains a feasible Smart AgroTech system that provides advantages to the farming activities in future cities than other conventional methods.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.4
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据