A Novel Rel-DASA Model for Reliable Data analysis in IoT based Smart Agriculture

Authors

  • R.Divya Research Scholar, VTU-RC , CMR Institute of Technology , Bengaluru – 560064
  • R.Chinnaiyan Professor – Supervisor , VTU-RC , CMR Institute of Technology , Bengaluru – 560064

Keywords:

Data, management, Wi-Fi Module, Android App

Abstract

Agriculture today depends largely on these technologies to supply food for human consumption because to their widespread usage. The Internet of Things bridges the gap by providing farmers with critical tools to predict crop growth, availability of moisture in the soil, soil status, and so on. We describe a comprehensive agricultural monitoring system for accurate crop growth management. This proposed research investigates how supplying farmers with real-time data such as weather forecasts through sensor integration might enhance decision-making. Internet of Things, Agricultural Sensors, Wi-Fi Module, Android App, and Raspberry Pi are all integrated.

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Published

2023-10-17

How to Cite

R.Divya, & R.Chinnaiyan. (2023). A Novel Rel-DASA Model for Reliable Data analysis in IoT based Smart Agriculture. Chinese Journal of Computational Mechanics, (5), 451–458. Retrieved from http://jslxxb.cn/index.php/jslxxb/article/view/4385

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Articles