Kumar et al. (2026) Agriculture Field Data Monitoring and Recording Through Smart Irrigation Model

Identification

• Journal: Lecture notes in electrical engineering
• Year: 2026
• Date: 2026-01-01
• Authors: Rajesh Kumar, Anil Garg
• DOI: 10.1007/978-981-95-2901-8_13

Research Groups

• Department of Electronics & Communication Engineering, Maharishi Markandeshwar Engineering College, Maharishi Markandeshwar (Deemed to be University), Mullana, Ambala, Haryana, India
• Department of Electronics and Communication Engineering, Panipat Institute of Engineering and Technology, Samalkha, Panipat, Haryana, India

Short Summary

This paper outlines an Internet of Things (IoT)-based smart irrigation system that collects real-time agricultural field data using sensors, stores it on the ThingSpeak cloud platform, and enables farmers to make informed irrigation decisions via a mobile application.

Objective

• To design and implement an IoT-based smart irrigation system for real-time monitoring of agricultural field data and facilitating informed irrigation decisions to optimize yields and conserve water.

Study Configuration

• Spatial Scale: Agricultural field scale (for sensor deployment and irrigation application).
• Temporal Scale: Real-time data collection and continuous monitoring.

Methodology and Data

• Models used: ThingSpeak cloud platform for data storage and analysis.
• Data sources: Real-time sensor observations (soil moisture, temperature, humidity) collected from agricultural fields.

Main Results

• An IoT-based smart irrigation system was successfully outlined and implemented.
• The system effectively collects real-time field data on critical parameters such as soil moisture, temperature, and humidity using sensors.
• Data is stored and analyzed on the ThingSpeak cloud platform, providing a centralized repository.
• The system enables farmers to access analyzed data and make informed irrigation decisions through a mobile application, aiming to minimize human intervention and conserve water.

Contributions

• Presentation of a practical, IoT-based solution for real-time agricultural field monitoring and smart irrigation, specifically addressing challenges in the Indian agricultural context.
• Integration of readily available technologies (IoT, ThingSpeak, mobile application) to provide actionable insights for optimized water usage and increased productivity.
• Development of a system designed to reduce human intervention and promote water conservation in agriculture.

Funding

• Funding information is not explicitly provided in the paper text.

Citation

@article{Kumar2026Agriculture,
  author = {Kumar, Rajesh and Garg, Anil},
  title = {Agriculture Field Data Monitoring and Recording Through Smart Irrigation Model},
  journal = {Lecture notes in electrical engineering},
  year = {2026},
  doi = {10.1007/978-981-95-2901-8_13},
  url = {https://doi.org/10.1007/978-981-95-2901-8_13}
}