IoT in Agriculture – Precision Farming Using Sensors and AI

Abstract

The integration of the Internet of Things (IoT) and Artificial Intelligence (AI) in agriculture has transformed traditional farming into a data-driven, precision-based approach. IoT-enabled sensors collect real-time data on soil moisture, temperature, humidity, and crop health, enabling informed decision-making (Kirkaya, 2020). AI-driven analytics process this data to optimize irrigation, fertilization, and pest control, leading to improved crop yields and efficient resource management (Singh et al., 2021). Precision farming minimizes environmental impact, reduces costs, and enhances sustainability. This paper explores the applications, benefits, and challenges of IoT and AI in precision agriculture, highlighting their potential to revolutionize the agricultural sector.