The Convergence of IoT and Image Processing in Sericulture: An Overview of Innovative Applications
Ahmed Farooq
University of Sindh, Jamshoro Campus
Abul Kashem shahriyar
Bangabandhu Sheikh Mujibur Rahman science and technology University
Keywords: Convergence, Internet of Things (IoT), Image Processing, Sericulture, Silk Production, Innovative Applications
Abstract
This study presents groundbreaking findings on the convergence of Internet of Things (IoT) and image processing technologies in sericulture, the art of silk production. The research highlights innovative applications resulting from this convergence, which significantly enhance various aspects of silk production. Key findings include the successful implementation of IoT devices for real-time monitoring of silkworm health, the development of smart silkworm rearing systems that optimize growth conditions, and the application of image processing techniques for automated cocoon inspection, disease detection, and harvest optimization. The study reveals that the integration of IoT and image processing in sericulture transforms traditional silk farms into intelligent ecosystems, revolutionizing sericulture management. Predictive analytics based on IoT and image processing data allow sericulturists to anticipate challenges and optimize resource utilization for increased productivity and profitability. These findings demonstrate the promising future of sericulture, marked by efficiency, sustainability, and technology-driven advancements in silk production.
