Precision Agriculture Using Machine Learning and IOT

Ramesh B E; Shruthi M K; Shriya Shetty; Varsha Patil G D; Yashaswini T S

Precision Agriculture Using Machine Learning and IOT

December 2025

Vol-11, Issue-6

Paper ID: 27799

ISSN: 2395-4396

Downloads: 0

Abstract & Details

Research Area

Computer Science and Engineering

Keywords

NPK Sensor Precision Agriculture Crop Prediction Soil Moisture Sensor Arduino Mega DHT11 Flame Sensor MQ2 Smoke Sensor pH Electrical Conductivity Organic Carbon Calcium Carbonate Automatic Irrigation Streamlit.

Abstract

Precision Agriculture Based Crop Predicting System is designed to assist farmers in identifying the most suitable crop for cultivation based on real-time soil and environmental conditions. The system integrates multiple sensors including an NPK sensor, soil moisture sensor, DHT11 (for temperature and humidity), flame sensor, and MQ2 smoke sensor all connected to an Arduino Mega microcontroller. The sensor data is displayed on an I2C LCD and transmitted through the serial monitor for further analysis. Additional soil parameters such as pH, Calcium Carbonate (CaCO₃), Electrical Conductivity (EC), and Organic Carbon (OC) are also fed into a machine learning model that predicts the ideal crop for the given soil condition. The system also features an automatic irrigation setup using a relay-controlled motor pump and a Streamlit-based frontend that visualizes live sensor readings and system status. This integrated IoT and AI approach promotes precision agriculture by improving crop selection accuracy, resource efficiency, and farm safety.

License

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Author Information

#	Name	Institute / Affiliation
1	Ramesh B E	SJM Institute of Technology
2	Shruthi M K	SJM Institute of Technology
3	Shriya Shetty	SJM Institute of Technology
4	Varsha Patil G D	SJM Institute of Technology
5	Yashaswini T S	SJM Institute of Technology

How to Cite

Use the following formats to cite this article in your research.

APA Style

E, Ramesh B, K, Shruthi M, Shetty, Shriya, D, Varsha Patil G, & S, Yashaswini T (2025). Precision Agriculture Using Machine Learning and IOT. International Journal of Advance Research and Innovative Ideas In Education, 11(6), 1195-1200.

MLA Style

E, Ramesh B, et al. "Precision Agriculture Using Machine Learning and IOT." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, 2025, pp. 1195-1200.

IEEE Style

Ramesh B E, Shruthi M K, Shriya Shetty, Varsha Patil G D, and Yashaswini T S, "Precision Agriculture Using Machine Learning and IOT," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 6, pp. 1195-1200, 2025.

Vancouver Style

E Ramesh B, K Shruthi M, Shetty Shriya, D Varsha Patil G, S Yashaswini T. Precision Agriculture Using Machine Learning and IOT. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(6):1195-1200.

Harvard Style

E, Ramesh B, K, Shruthi M, Shetty, Shriya, D, Varsha Patil G, & S, Yashaswini T (2025) 'Precision Agriculture Using Machine Learning and IOT', International Journal of Advance Research and Innovative Ideas In Education, 11(6), pp. 1195-1200.

Chicago Style

E, Ramesh B, et al. "Precision Agriculture Using Machine Learning and IOT." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 1195-1200.

Turabian Style

E, Ramesh B, et al. "Precision Agriculture Using Machine Learning and IOT." International Journal of Advance Research and Innovative Ideas In Education 11, no. 6 (2025): 1195-1200.