IoT-Based Automated Crop Protection System for Smart Farming

Year : 2026 | Volume : 15 | Issue : 02 | Page : 1 8
    By

    Sarthak Rajendra Landge,

  • Chaitanya Arun Patil,

  • Dhanashree Ajay Vispute,

  • Naveen Kumar,

  1. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Ahmednagar, Maharashtra, India
  2. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Ahmednagar, Maharashtra, India
  3. Student, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Ahmednagar, Maharashtra, India
  4. Assistant Professor, Department of Mechatronics Engineering, Sanjivani College of Engineering, Kopargaon, Ahmednagar, Maharashtra, India

Abstract

The development of current technological advancements produces expanded capabilities for agricultural farming production alongside pest management techniques. The Automatic Crop Protection System requires an Arduino controller and Blynk IoT application for monitoring and managing essential environmental parameters including temperature along with humidity as well as soil moisture and pest behavior. Real-time environmental and soil data obtained by the suggested system’s sensor array gets analyzed and controlled by an Arduino controller. The system performs automatic actions according to detected information through its database execution process which includes activating pest control measures during pest spot detection and starting irrigation cycles after reaching preset soil dryness levels. Livestock farmers can access Blynk IoT application to both remotely observe their field conditions and receive fast notifications whenever irregularities occur. Successful automation ensures perfect pesticide and water use while needing minimum labor intervention while maintaining green farming quality through reduced environmental waste. The system which was developed to be affordable and scalable matches the needs of farmers operating small to medium-sized farms to protect their crops while optimizing resource management and production levels. The system demonstrates how innovative technology integration between automation and IoT enables better sustainable farming operations from traditional agricultural methods. Furthermore, the proposed system enhances decision-making efficiency by providing continuous data visualization and historical records for performance evaluation. Its modular design allows future integration of advanced sensors and machine learning algorithms, enabling predictive pest management, improved crop health monitoring, and long-term agricultural sustainability.

Keywords: Agriculture technology, arduino, automated irrigation, blynk app, crop monitoring, IoT, pest control, precision agriculture, smart farming, sustainable farming

[This article belongs to Research and Reviews : Journal of Crop science and Technology ]

How to cite this article:
Sarthak Rajendra Landge, Chaitanya Arun Patil, Dhanashree Ajay Vispute, Naveen Kumar. IoT-Based Automated Crop Protection System for Smart Farming. Research and Reviews : Journal of Crop science and Technology. 2026; 15(02):1-8.
How to cite this URL:
Sarthak Rajendra Landge, Chaitanya Arun Patil, Dhanashree Ajay Vispute, Naveen Kumar. IoT-Based Automated Crop Protection System for Smart Farming. Research and Reviews : Journal of Crop science and Technology. 2026; 15(02):1-8. Available from: https://journals.stmjournals.com/rrjocst/article=2026/view=242753


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Regular Issue Subscription Original Research
Volume 15
Issue 02
Received 29/01/2026
Accepted 02/02/2026
Published 04/05/2026
Publication Time 95 Days
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