Automation in Silk: Revolutionizing Sericulture with Technology

Abstract

This book chapter looks into sericulture's revolutionary impact in empowering women and promoting sustainable livelihoods in rural areas. It examines the economic, social, and environmental aspects of sericulture, emphasizing its potential for money production, skill development, and community participation. The chapter additionally looks into sericulture's sustainable methods, which help to protect the environment and strengthen local economies.

This article examines technical breakthroughs for rejuvenating the silk industry, with an emphasis on current mulberry rearing techniques, biotechnology pest and disease control, and government regulations that promote environmentally friendly technologies. It also emphasizes automation and mechanization's possibilities for productivity and sustainability. The article explores case studies of effective technology and sustainability integration in sericulture, assesses the environmental impact of conventional methods, and makes policy recommendations for sustainable sericulture, with a focus on public-private partnerships. Silkworm diseases, such as Grasserie, can result in 30--40% output reductions. These illnesses can be identified through a variety of scientific approaches and laboratory processes. This article discusses sericulture methodologies, silkworm types and life cycles, current disease detection methods, the need for non-invasive methods, existing method limitations, and the revolution of deep learning, specifically Convolutional Neural Networks (CNNs), in disease detection systems and sericulture byproducts. High-throughput sequencing technologies allow for quick genome sequencing of plants, discovering genetic markers linked with desired characteristics. This enables breeders to pick certain features more precisely and effectively. Mulberry genomics provides enormous promise for increasing productivity and quality. Researchers can assure a sustainable and fruitful future for sericulture by identifying molecular pathways that regulate development and using these insights to guide breeding efforts.