Automated Smart Sericulture System based on 6LoWPAN and Image Processing Technique

Sericulture is the heart of raising silkworms for silk production. India is the second largest producer of silk in the World. Sericulture is the root of social, economic, cultural and political progress of India. Temperature and humidity play an important role in the development of healthy silkworms in every stage, especially during the development of larva. Disinfection is one of the critical parameter to be considered for healthy and successful silkworm rearing. In this paper, we present an 6LoWPAN (IPv6 over Low power Wireless Personal Area Network) enabled IoT (Internet of Things) based approach to design a real time sericulture monitoring and disinfection actuating system with an inclusion of image processing technology to identify the stages of silk worm life cycle. Our prototype supports real time data collection using emerging 6LoWPAN, CoAP (Constrained Application Protocol) and RPL (Routing Protocol for Low power and lossy Networks) protocols. The complete system is designed and implemented using Contiki OS to control the atmospheric condition inside the sericulture system as per the requirements in each stage of sericulture life cycle. This complete prototype was built using the TelosB motes running 6LoWPAN stack interfaced to temperature and humidity sensors with an disinfection actuation system and a serial camera to auto capture the pictures and to analyze it using an image processing method to check the status on sericulture process.