International Journal For Multidisciplinary Research

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Automated smart sericulture using iot and image processing technique

Author(s) Manoj Gowda AM, Dhruvakumar K, Kruthik M V, Padmavathi C, Madhu Gowda M H
Country India
Abstract 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.
Field Engineering
Published In Volume 7, Issue 2, March-April 2025
Published On 2025-03-09
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E-ISSN 2582-2160
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