Year: 2025
Type: article
Abstract: : This project suggests an Advanced Solar Tracking and Automatic Sprinkler Irrigation System that is improved by next-generation sensor technologies and mobile message integration. In comparison to static panels, the system greatly increases power generation by optimising solar panel orientation throughout the day using a single-axis solar tracker. High-precision temperature and soil moisture sensors are combined with an automated irrigation system to track field conditions in real time. The technology autonomously regulates sprinkler water distribution based on sensor feedback, minimising water waste and preserving ideal soil moisture levels. Farmers can receive real-time SMS warnings about soil conditions, irrigation events, and solar power efficiency thanks to a GSM-based communication module. Without requiring physical presence, this mobile integration enables remote monitoring and decision-making. Using LDR+servo modules for precise solar tracking, DHT22 sensors for high-accuracy temperature and humidity data, and capacitive soil sensors for durability. This Internet of Things-enabled solution supports smart farming, lowers energy and water usage, and boosts agricultural productivity. The design is an important step towards sustainable agro-tech solutions because it is affordable, scalable, and flexible for both small and big farms.
Authors: Shweta Patil, Preeti Navale, Vaishnavi Suryawanshi, . S. K. Godase
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: diamond
OpenAlex ID: W4416177414