Year: 2025
Type: article
Abstract: Water scarcity and inefficient irrigation practices necessitate smart agricultural solutions.This project proposes an automated soil moisture-based pumping system that optimizes water usage by activating irrigation only when needed.The system employs soil moisture sensors to measure real-time soil water content, relaying data to a microcontroller (e.g., Arduino or ESP8266).When moisture levels drop below a predefined threshold, the microcontroller triggers a water pump via a relay module, ensuring precise irrigation.Additional features may include IoT integration (e.g., Blynk/Thing Speak) for remote monitoring, a rain sensor to prevent overwatering, and solar power support for off-grid operation.By eliminating manual intervention and reducing water wastage, this system enhances crop yield while conserving resources.Potential applications span farms, greenhouses, and home gardens.
Institution: Nagpur Institute of Technology
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4412888227