Intelligent irrigation system with multiple nodes and smart sensors using IoT for agricultural field
Agriculture is the primary line of occupation for most of the Indian peoples. In India about 58% of people are working on agricultural as it is their main source of income. But the sane place farmers are facing the issues like irrigation, lack of modernization and surface water overexploitation. The proposed automated irrigation system integrates multiple nodes equipped with NPK sensors, Node MCU, and PIC microcontrollers to monitor soil moisture and nutrition levels in real-time. Utilizing Internet of Things (IoT) technology, the system enables remote monitoring and control using Thingspeak. The NPK sensors provide accurate data on soil nutrient content, allowing for precise and targeted fertilization. To prevent well motor pump dry-run and enhance system efficiency, the current sensor attached to power cable of well motor pump. The system consists of a network of nodes purposefully placed across the agricultural field, each equipped with smart sensors capable of monitoring crucial environmental vales like soil moisture level, atmospheric temperature value, and humidity level. Furthermore, the system offers a user-friendly interface accessible through web or mobile applications, allowing farmers to monitor and control the irrigation process remotely. The IoT based intelligent irrigation system is not only enhancing water efficiency but also contributes to sustainable agriculture practices. By reducing water consumption and minimizing environmental impact, the proposed system aims to improve overall crop yield and foster a more resilient and adaptive approach to modern farming. As technology continues to evolve, integrating intelligent solutions in agriculture becomes crucial for ensuring food security and sustainability in the face of changing global conditions.
Authors
- M. Sebastin Santhosh (ORCID: https://orcid.org/0000-0003-0318-1233)
- M. Anandha Jothi
- Amarnath Prabhakaran A
- M Srinevasan
- B Balajee
- S Naveen
- D Sanjai
- Shrinivas JP
Institutions
- Al-Ameen Medical College (IN)
- Dhanalakshmi Srinivasan Group of Institutions (IN)
Publication Details
- Journal
- IET conference proceedings.
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1049/icp.2024.4443
- Citations
- 2
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 3.50