Smart Irrigation System Utilizing AI for Precision Agriculture

I. Poonguzhali; Durga KB; Reshma Oviya S; Yogasri S

doi:10.15680/IJIRCCE.2024.1205029

I. Poonguzhali Assistant Professor, Department of ECE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Durga KB UG Student, Department of ECE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Reshma Oviya S UG Student, Department of ECE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India
Yogasri S UG Student, Department of ECE, Panimalar Institute of Technology, Chennai, Tamil Nadu, India

DOI: https://doi.org/10.15680/IJIRCCE.2024.1205029

Abstract

The integration of IoT technologies in agriculture has revolutionized various industries, including smart cities, health, grids, and homes. This paper explores the potential of machine learning and IoT data analytics in agriculture, focusing on the prediction model of tomato disease using IoT systems. The paper also conducts a local survey to understand farmers' perceptions of emerging technologies and their impact on precision agriculture. It also discusses the challenges faced in integrating these technologies into traditional farming methods. The paper highlights the power and capability of computing techniques in agriculture, including the potential for improved production and quality, despite the limitations of traditional farming approaches.