SILKWORM DATASETS OF SERICULTURE DEPARTMENT GOVERNMENT OF ANDHRA PRADESH

About Dataset

The Silkworm Health Dataset is developed by the Department of Sericulture to enable early detection of health risks and improve rearing efficiency through AI-driven insights. Silkworm health is a critical determinant of cocoon yield, and it is influenced by multiple factors including environmental conditions, feeding practices, and disease incidence. This dataset consists of smartphone-captured images and short videos of silkworm trays along with environmental parameters such as temperature, humidity, ventilation conditions, and hygiene indicators. It also includes cocoon production metrics such as cocoon weight, shell ratio, ERR%, and mortality data. The dataset supports development of intelligent systems for: • Health risk classification (Low / Medium / High) • Early warning systems for disease and stress detection • Prediction of cocoon yield outcomes • Advisory generation for corrective actions It is designed for practical deployment in rural field conditions with offline-first capability and minimal infrastructure requirements.