
International Journal For Multidisciplinary Research
E-ISSN: 2582-2160
•
Impact Factor: 9.24
A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
Home
Research Paper
Submit Research Paper
Publication Guidelines
Publication Charges
Upload Documents
Track Status / Pay Fees / Download Publication Certi.
Editors & Reviewers
View All
Join as a Reviewer
Get Membership Certificate
Current Issue
Publication Archive
Conference
Publishing Conf. with IJFMR
Upcoming Conference(s) ↓
WSMCDD-2025
GSMCDD-2025
Conferences Published ↓
RBS:RH-COVID-19 (2023)
ICMRS'23
PIPRDA-2023
Contact Us
Plagiarism is checked by the leading plagiarism checker
Call for Paper
Volume 7 Issue 2
March-April 2025
Indexing Partners



















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 |
Share this

E-ISSN 2582-2160

CrossRef DOI is assigned to each research paper published in our journal.
IJFMR DOI prefix is
10.36948/ijfmr
Downloads
All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.
