Scholarlink

This work presents the design and implementation of a smart micro-drip irrigation system that continuously monitors soil moisture levels using electronic sensors integrated with an IoT-based framework to optimize water usage. The system employs a NodeMCU ESP8266 microcontroller connected to a soil moisture sensor, LCD display, and relay module controlling a mini water pump. When the soil moisture level drops below a defined threshold, the system automatically activates the pump to deliver water through drippers directly to plant roots, thereby minimizing water waste. Real-time moisture data is displayed on an LCD panel and logged via the cloud for monitoring. Experimental results show an increase in soil moisture from 46% to 60% within 5 h and controlled water flow between 9–13 L/h, confirming the system’s responsiveness and efficiency. The proposed solution reduces manual intervention and promotes sustainable water management. This work aligns with SDG 6 and SDG 12 by enabling smart irrigation for efficient water use and responsible resource management.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Water-Saving Micro-drip Irrigation Using IoT-Enabled Sensing Techniques

  • 会议论文

  • 发表日期：

    2026年

查看全文
  • Abhishek Tripathi,
  • Shubham Anjankar,
  • Chirukuri Manohar,
  • M. J. Bhuvaneshwar Naidu,
  • Suresh Balpande,
  • Dipika D. Pradhan

摘要

This work presents the design and implementation of a smart micro-drip irrigation system that continuously monitors soil moisture levels using electronic sensors integrated with an IoT-based framework to optimize water usage. The system employs a NodeMCU ESP8266 microcontroller connected to a soil moisture sensor, LCD display, and relay module controlling a mini water pump. When the soil moisture level drops below a defined threshold, the system automatically activates the pump to deliver water through drippers directly to plant roots, thereby minimizing water waste. Real-time moisture data is displayed on an LCD panel and logged via the cloud for monitoring. Experimental results show an increase in soil moisture from 46% to 60% within 5 h and controlled water flow between 9–13 L/h, confirming the system’s responsiveness and efficiency. The proposed solution reduces manual intervention and promotes sustainable water management. This work aligns with SDG 6 and SDG 12 by enabling smart irrigation for efficient water use and responsible resource management.