Nigam et al. (2026) Automated Irrigation and Hazard Detection Using IoT for Sustainable Farming

Identification

• Journal: Lecture notes in networks and systems
• Year: 2026
• Date: 2026-01-01
• Authors: Vanshika Nigam, Tanisha Sharma, Satyajit Pangaonkar, Rushikesh Pawar, Surendra Rahamatkar
• DOI: 10.1007/978-981-95-5082-1_4

Research Groups

Avantika University, Ujjain, Madhya Pradesh, India

Short Summary

This study introduces an Internet of Things (IoT)-based system for automated irrigation and real-time hazard detection in farming, demonstrating significant improvements in water conservation, crop management efficiency, and yield for small to medium-sized farms.

Objective

• To design and implement an IoT-based system for plant care that optimizes irrigation and monitors environmental threats to enhance sustainable and efficient farming practices.

Study Configuration

• Spatial Scale: Small to medium-sized farms (field tests).
• Temporal Scale: Real-time monitoring and control, enabling timely interventions.

Methodology and Data

• Models used: IoT-based system utilizing an ESP32 microcontroller integrated with the Blynk application for remote monitoring and control.
• Data sources: Direct sensor observations from the field, including:
  • Moisture sensor (FC-28)
  • Ultrasonic sensor (HC-SR04) for animal intrusion detection
  • Flame sensor (KY026) for fire detection
  • Flow sensor (YF-S201) for water usage monitoring

Main Results

• The implemented IoT system achieved significant improvements in water conservation and overall efficiency in crop management.
• Precision irrigation, guided by real-time soil moisture readings, effectively minimized water wastage.
• The flow sensor ensured optimal water usage during irrigation cycles.
• Integrated hazard detection features, including alerts for animal intrusion and fire, enabled timely interventions, thereby reducing potential crop damage.
• Field tests demonstrated a marked reduction in manual labor requirements and an increase in crop yield.

Contributions

• This research provides a scalable and cost-effective IoT solution for automated irrigation and multi-hazard detection, specifically tailored for small to medium-sized farms.
• It integrates diverse environmental monitoring capabilities (moisture, flow, animal intrusion, fire) into a single, user-friendly system, offering a comprehensive approach to sustainable agriculture.
• The study contributes to the existing literature by demonstrating practical applications of IoT for enhancing productivity and resource efficiency in real-world agricultural settings.

Funding

Not specified in the provided text.

Citation

@article{Nigam2026Automated,
  author = {Nigam, Vanshika and Sharma, Tanisha and Pangaonkar, Satyajit and Pawar, Rushikesh and Rahamatkar, Surendra},
  title = {Automated Irrigation and Hazard Detection Using IoT for Sustainable Farming},
  journal = {Lecture notes in networks and systems},
  year = {2026},
  doi = {10.1007/978-981-95-5082-1_4},
  url = {https://doi.org/10.1007/978-981-95-5082-1_4}
}