10.35940/ijsce.F3402.0710120
https://zenodo.org/records/5533459
oai:zenodo.org:5533459
B. Sridhar
B. Sridhar
Professor ECE department, LIET, Vizianagaram, India
K. Lalitha Divya Sindhu
K. Lalitha Divya Sindhu
Final year UG Students, ECE department LIET Vizianagaram, India. N. Ragasudha, Final
N. Ragasudha
N. Ragasudha
Final year UG Students, ECE department LIET Vizianagaram, India. N. Ragasudha, Final
M. Mounika
M. Mounika
Final year UG Students, ECE department LIET Vizianagaram, India. N. Ragasudha, Final
K. Premnath Chakri
K. Premnath Chakri
Final year UG Students, ECE department LIET Vizianagaram, India. N. Ragasudha, Final
Development of Raspberry-Pi Based IoT Agricultural System using Fuzzy Techniques
Zenodo
2020
IOT, agricultural system, Fuzzy logic, Raspberry pi, Sensor nodes.
Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)
Publisher
2020-07-30
eng
2231-2307
Creative Commons Attribution 4.0 International
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.