MULBERRY AND SILKWORM USE CASE SERICULTRURE GOVERNMENT OF ANDHRA PRADESH

This use case focuses on analyzing mulberry leaf nutritional parameters such as chlorophyll, protein, carbohydrates, and moisture content, along with silkworm health indicators including larval growth, feeding efficiency, mortality rate, and disease incidence. By integrating leaf quality data with silkworm performance and environmental conditions like temperature and humidity, the system helps in identifying factors affecting cocoon yield and quality. It also supports early detection of diseases such as Pebrine, Grasserie, Flacherie, and Muscardine, enabling timely preventive measures. The insights generated assist farmers and stakeholders in adopting improved cultivation practices, optimizing rearing conditions, reducing losses, and enhancing productivity and sustainability in sericulture.