AI-Driven Sericulture Automation for Optimal Silkworm Rearing

Author(s)	Dr M Shilpa, Samarth, Ullas Raj B. R, Suman B.S, Haradik
Country	India
Abstract	This paper is an AI-powered sericulture automation system for optimal silkworm rearing. Combining synthetic intelligence and IoT to revolutionize sericulture With computerized temperature control capabilities for robust farming conditions. Precise feeding mechanism to ensure consistent nutrition Integrated anomaly detection engine based on deep expertise to quickly recognize infections State-of-the-art machinery for producing top-notch silk by increasing productivity. Reduce human intervention and reduce losses Ensure environmentally friendly, sustainable and scalable practices.
Keywords	Natural Language Processing, Real-time Language Translation, Subtitle Generation, Machine Translation, Automatic Speech Recognition, Neural Network, Multimodal Communication
Field	Engineering
Published In	Volume 7, Issue 1, January-February 2025
Published On	2025-02-25
DOI	https://doi.org/10.36948/ijfmr.2025.v07i01.37730
Short DOI	https://doi.org/g86w74

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International Journal For Multidisciplinary Research