Year: 2025
Type: article
Abstract: ABSTRACT Agriculture plays a vital role in the economies of many nations. However, traditional irrigation methods often waste water and lack precision[1]. To address these challenges, this project introduces a smart irrigation system powered by IoT technology[14]. The system uses a network of sensors and actuators to monitor key factors like soil moisture, temperature, humidity, and weather conditions. This data is sent to a central control unit, where intelligent algorithms determine the optimal timing and amount of water needed for irrigation. Designed to be energy-efficient and cost-effective, the system operates on a standard power supply while offering significant advantages over conventional methods. By minimizing water waste, it helps conserve valuable water resources, boosts crop yields, and lowers operational costs. The system is also user-friendly, with simple installation, operation, and maintenance[2]. It can be customized for different crops and soil types and scaled up to cover larger fields or multiple farming zones. In summary, this IoT-based smart irrigation system is a sustainable and efficient upgrade from traditional methods. Its scalability, energy efficiency[8], and adaptability make it an excellent choice for farmers seeking modern, technology-driven solutions to enhance their irrigation practices[5]. Keywords: agriculture, irrigation, IoT, sensors, actuators, temperature, humidity, weather conditions, energy-efficient, cost-effective, water conservation, crop yields, scalability, customization.
DOI: 10.55041/ijsrem45806
Author: Ashok Singh
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
Open Access status: bronze
OpenAlex ID: W4409822244