IoT-Powered Sericulture: The Future of Silk Production

Abstract

This project report describes an IoT-based sericulture automation system that makes use of Arduino and NodeMCU as key components. The system monitors and controls the sericulture environment using various sensors based on parameters such as humidity, temperature, upper lid status, window status, gas concentration, and fire detection etc. A water sprayer is also included to optimise moisture levels for silkworm growth.

Humidity and temperature sensors are used to continuously monitor the sericulture environment, ensuring that the silkworms are kept in optimal conditions. The upper lid and window sensors detect the facility's status, allowing for automated responses for appropriate ventilation control.

When high gas levels are detected, the system activates the exhaust fan to quickly ventilate the area, minimizing potential harm to the silkworms. To continuously monitor the air quality, the system employs gas detectors or sensors strategically placed throughout the area. Specific gases, such as carbon monoxide (CO), methane (CH4), propane (C3H8), hydrogen sulphide (H2S), or volatile organic compounds (VOCs), are detected by these sensors. In the event of a fire outbreak, a fire detection system is integrated to provide early warning and activate an alert system.

The experimental results show that the proposed IoT-based automation system is effective in maintaining optimal sericulture conditions, increasing productivity, and ensuring the safety of the sericulture facility. The use of Arduino and NodeMCU allows for low-cost and efficient automation, providing sericulture farmers with remote management capabilities.