Automated smart sericulture using iot and image processing technique

Sericulture, the practice of raising silkworms for silk production, plays a crucial role in India's social, economic, cultural, and political landscape. As the second-largest silk producer globally, India relies on optimal environmental conditions, particularly temperature and humidity, to ensure the healthy growth of silkworms at every stage of their lifecycle. Maintaining these conditions is especially critical during the larval development phase. Additionally, effective disinfection is essential for preventing diseases and ensuring successful silkworm rearing. This paper presents an IoT-based approach for real-time sericulture monitoring and automated disinfection using an Arduino-enabled system. The proposed prototype integrates image processing technology to identify and track different stages of the silkworm lifecycle. The system continuously collects environmental data using sensors connected to an Arduino microcontroller, ensuring precise control over temperature and humidity based on the requirements of each developmental stage. The implemented prototype consists of a Wi-Fi-enabled module operating on a REST API framework, interfaced with temperature and humidity sensors for real-time data acquisition. Additionally, a disinfection actuation mechanism is incorporated to maintain hygienic conditions. A serial camera module captures images of silkworms, which are then analysed using image processing techniques to monitor their growth and lifecycle progression.