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International Journal of Soft Computing & Engineering
Article . 2020 . Peer-reviewed
Data sources: Crossref
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Article . 2020
License: CC BY
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Development of Raspberry-Pi Based IoT Agricultural System using Fuzzy Techniques

Authors: B. Sridhar; K. Lalitha Divya Sindhu; N. Ragasudha; M. Mounika; K. Premnath Chakri;

Development of Raspberry-Pi Based IoT Agricultural System using Fuzzy Techniques

Abstract

In India, agriculture plays an important role in national development. Agricultural problems have always hindered the country's development. The only solution to this is smart farming by modernizing traditional farming methods today. The Internet of Things (IOT) allows a variety of applications such as monitoring and selecting crop development, supporting irrigation decisions, etc. The result of this work is the monitoring of soil moisture, temperature, humidity, pH, reproduction and water level . Field Using a sensor network that collects data from different types of sensors and then sends it to the main server using Raspberry pi, it uses vague logic in real time to make decisions based on the decisions made by the system.

Keywords

IOT, agricultural system, Fuzzy logic, Raspberry pi, Sensor nodes.

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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