Smart Sericulture Systems Based on Internet of Things (IOT) and Image Processing

Abstract

Sericulture alludes to the raising of silkworms to produce silk. India is the second biggest producer of silk. Temperature, Relative humidity, light and air plays a major role in sound silkworm production and quality cocoon production mainly depends upon the quality of mulberry leaves. Internet of Things is an ecosystem of connected physical objects that are accessible through internet. IoT empowered Arduino based system used to monitor the rearing room conditions and to monitoring the field conditions. In addition to that, Image processing is an analysis and manipulation of a digitized image, tailored to improve image quality and for separate data from images. Silkworm eggs counting system using image processing is a state of art technology to count eggs accurately and reduces the time of manual counting using conventional methods. Cocoon quality assessment using image processing is more reliable, precise, faster and economically feasible. Sex separation using image processing showed high degree of accuracy. This review highlights the potential of smart sericulture systems employing digital technologies. This will further helps the farming and scientific community in precision sericulture.