Smart farming using cloud-based Iot data analytics

被引：0

作者：

Turukmane A.V. ^{[1
]}

Pradeepa M. ^{[2
]}

Reddy K.S.S. ^{[3
]}

Suganthi R. ^{[4
]}

Riyazuddin Y.M. ^{[5
]}

Tallapragada V.V.S. ^{[6
]}

机构：

[1] School of Computer Science & Engineering, VIT- AP University, Vijaywada, Amaravati

[2] School of Information Technology and Engineering, Vellore Institute of Technology, Tamil Nadu, Vellore

[3] Department of Information Technology, Vasavi College of Engineering, Hyderabad

[4] Department of ECE, Panimalar Engineering College, Bangalore Trunk Road, Varadharajapuram, Poonamallee, Chennai

[5] Dept of CSE, School of Technology, Gitam University, Hyderabad

[6] Department of ECE, Mohan Babu University (Erstwhile SreeVidyanikethan Engineering College), Andhra Pradesh, Tirupati

来源：

Measurement: Sensors | 2023年 / 27卷

关键词：

Analytics; Big data; Cloud data; Internet of things; Smart farming;

D O I：

10.1016/j.measen.2023.100806

中图分类号：

学科分类号：

摘要：

The introduction of cutting-edge technologies like Internet of Things (IoT) detectors and drones, and farm surveillance, is transforming the farming sector in the Big Data era. Huge quantities of priceless agridata are generated by IoT systems, and cutting-edge application technologies enable the true collection and analysis of this information. This technological combination, referred to as “smart farming,” enables different agriculture-based players to analyze plants in real-time and enhance profitability and efficiency in farm and company activities with the least amount of work. Even though several precision agriculture methods have been developed by academics and businesses, it is sadly never possible to apply those strategies to all farms. A custom, semi-public big data processing infrastructure serves as the foundation for the majority of these applications. Throughout this article, we suggest WALLeSMART, a virtualized precision agriculture management system used in India's Wallonia. The framework presents a broad framework to handle the difficulties associated with collecting, analyzing, storing, and visualizing extremely huge volumes of information on a factual and batch basis. A first version has indeed been created and then pushed to the limit on several fields, with impressive outcomes. © 2023 The Authors

引用

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