Year: 2025
Type: article
Abstract: This IoT-based Smart Agriculture Monitoring System is designed to optimize agricultural processes by utilizing various sensors and real-time monitoring to improve crop growth and resource management. The system is built around an Arduino Nano, interfaced with key sensors such as the LDR sensor for ambient light detection, the DHT11 sensor for monitoring temperature and humidity, and the soil moisture sensor for irrigation control. The system automatically activates a water pumping motor via a relay when soil moisture levels fall below a predefined threshold, ensuring efficient irrigation. Data from the sensors is transmitted to the cloud via Node MCU, allowing farmers to remotely monitor and manage their agricultural environment through a web interface. This smart system reduces water wastage, promotes optimal plant growth, and provides valuable insights to help farmers make informed decisions, contributing to sustainable agricultural practices
DOI: 10.55041/ijsrem45009
Author: Dr. A. Usha
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4409692953