• Lakshmithra K
• Gavina C G
• Kavyashree V
• Lakshmireddygari Greeshma Latha
• Prakruthi V

As we know India is the second largest country which produces silk. The 97% of raw silk is mainly produced by five states of India they are Andhra Pradesh, Karnataka, Jammu & Kashmir, Tamil Nadu, and West Bengal. Sericulture is a root of the social, economic, cultural, and political progress of India. Seasonal variation in the environment affects genotype expression in the form of phenotype output of the silkworm crop, such as boll weight, shell weight, and cocoon-to-shell ratio. Climate change and changes in global warming highlight the need to regulate temperature and relative humidity for healthy cocoon development and sustainability of the cocoon. This overall goal of the following paper is to detect the health condition of silkworm and to predict the medicine for unhealthy worms, an image processing technique with ResNet 50 is used. This new technique improves the quality of silk farms output with very fewer human interventions.

Sericulture, Cocoon, Image processing.

"Smart Sericulture Using Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.h944-h949, May-2023, Available :http://www.jetir.org/papers/JETIR2305823.pdf

"Smart Sericulture Using Image Processing", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. pph944-h949, May-2023, Available at : http://www.jetir.org/papers/JETIR2305823.pdf