Smart Crop Recommendation Using IoT Sensor for Precision Agriculture

Year : 2025 | Volume : 13 | Issue : 03 | Page : 29 41
    By

    Sirani Sunitha,

  • V. Nisha Priyadarshini,

  1. Assistant Professor, Department of Electronics and Communication Engineering, Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh, India
  2. Assistant Professor, Department of Electronics and Communication Engineering, Siddharth Institute of Engineering & Technology, Puttur, Andhra Pradesh, India

Abstract

This study addresses precision agriculture, which leverages modern technologies to enhance farming efficiency and sustainability. This study proposes a Smart Crop Recommendation System using IoT sensors to optimize crop selection based on real-time environmental conditions. The system integrates multiple sensors, including a temperature sensor, flame sensor, soil sensor, moisture sensor, and LDR sensor, to monitor crucial parameters such as temperature, soil moisture, light intensity, and fire hazards. An Arduino microcontroller processes sensor data, while an LCD display (16×2 lines) provides real-time feedback. The NodeMCU module enables wireless data transmission to an IoT-based cloud platform, allowing remote monitoring and analysis. A buzzer alerts farmers to critical environmental changes, ensuring timely intervention. The collected data is analyzed to recommend suitable crops, promoting optimal resource utilization, increased productivity, and sustainable farming. This IoT-powered system provides data-driven insights for precision agriculture, reducing manual effort and enhancing decision-making for improved crop yield and farm management.

Keywords: IoT, smart farming, precision agriculture, crop recommendation, sensors, Arduino, NodeMCU, real-time monitoring

[This article belongs to Research & Reviews: A Journal of Embedded System & Applications ]

How to cite this article:
Sirani Sunitha, V. Nisha Priyadarshini. Smart Crop Recommendation Using IoT Sensor for Precision Agriculture. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(03):29-41.
How to cite this URL:
Sirani Sunitha, V. Nisha Priyadarshini. Smart Crop Recommendation Using IoT Sensor for Precision Agriculture. Research & Reviews: A Journal of Embedded System & Applications. 2025; 13(03):29-41. Available from: https://journals.stmjournals.com/rrjoesa/article=2025/view=228064


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Regular Issue Subscription Original Research
Volume 13
Issue 03
Received 29/04/2025
Accepted 02/07/2025
Published 20/09/2025
Publication Time 144 Days
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