Strategic integration of technology in precision agriculture

Abstract

This research focuses on the strategic integration of advanced technologies in microclonal propagation for precision agriculture. The development of an automated system, incorporating computer vision, robotic manipulation, QR code identification, and cloud storage, aims to revolutionize the efficiency and precision of plant sorting processes. Computer vision facilitates early detection of viruses, while a moving platform and robotic arm enhance mobility and accuracy. The QR code system and cloud storage infrastructure enable seamless plant identification and dynamic data analysis. Challenges, including biological variability and technological obsolescence, are addressed through iterative learning and modular design. The research represents a transformative leap in agriculture, offering a promising avenue for sustainable and data-driven cultivation practices to meet the challenges of an evolving global food landscape.