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Research & Reviews : Journal of Agricultural Science and Technology Original Research

QR Based Plant Care System

  1. Diya S. Khomane Department of Computer Engineering, Rajgad Technical Campus Polytechnic, Dhangawadi, Pune
  2. Gauri A. Jambhale Department of Computer Engineering, Rajgad Technical Campus Polytechnic, Dhangawadi, Pune
  3. Rupali Y. Gawale Department of Computer Engineering, Rajgad Technical Campus Polytechnic, Dhangawadi, Pune
  4. Shruti D. Gole Department of Computer Engineering, Rajgad Technical Campus Polytechnic, Dhangawadi, Pune

Abstract

The QR Based Plant Care System is an innovative digital solution developed to improve plant monitoring, maintenance, and information management through the integration of QR code technology with smart agricultural practices. Traditional plant care methods mainly depend on manual record keeping, handwritten labels, and human observation, which often result in data loss, inconsistency, and inefficient plant management. With the increasing demand for sustainable agriculture and efficient resource utilization, there is a growing need for an automated and reliable plant care system. The proposed system assigns a unique QR code to every plant, allowing users to instantly access detailed information such as plant species, watering schedule, soil requirements, sunlight exposure, fertilizer recommendations, disease management, and growth status using a smartphone. The system supports digital storage through cloud-based databases, ensuring secure, accurate, and easily accessible plant records. Furthermore, the integration of mobile applications and Internet of Things (IoT) technologies enhances real-time monitoring and automated plant care management. The system is cost-effective, user-friendly, and suitable for farms, nurseries, botanical gardens, educational institutions, and household gardening. It minimizes human effort, improves monitoring accuracy, reduces resource wastage, and promotes sustainable agricultural practices. The study also highlights the future scope of integrating artificial intelligence and predictive analytics for advanced plant health analysis and decision-making. Overall, the QR Based Plant Care System provides a scalable and efficient approach for modern plant care management and contributes significantly to smart agriculture and environmental sustainability.

Keywords

References (10)

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