การพัฒนาเทคโนโลยีแอปพลิเคชันสำหรับอารักขารังไหมเลี้ยงอัจฉริยะประสิทธิภาพสูง

Suphattra Wayalun; Suphachai Kaoechan; Songsak Meesit; Weeranun Viboonaut; Patiwat Arsasern; Rattiya Thanee

doi:10.65205/jcct.2025.2548

Authors

Suphattra Wayalun Assistant Professor, Dr., Program in Computer Technology, Faculty of Industrial Technology, Surindra Rajabhat University, Surin 32000, Thailand https://orcid.org/0000-0001-9301-5591
Suphachai Kaoechan Assistant Professor, Dr., Program in Mechanical Engineering and Electric Vehicles Technology, Faculty of Industrial Technology, Surindra Rajabhat University, Surin 32000, Thailand
Songsak Meesit Instructor, Program in Computer Technology, Faculty of Industrial Technology, Surindra Rajabhat University, Surin 32000, Thailand https://orcid.org/0009-0009-0672-4759
Weeranun Viboonaut Instructor, Program in Computer Technology, Faculty of Industrial Technology, Surindra Rajabhat University, Surin 32000, Thailand https://orcid.org/0009-0003-0246-4896
Patiwat Arsasern Instructor, Program in Computer Technology, Faculty of Industrial Technology, Surindra Rajabhat University, Surin 32000, Thailand https://orcid.org/0009-0002-4243-8193
Rattiya Thanee Instructor, Program in Computer Technology, Faculty of Industrial Technology, Surindra Rajabhat University, Surin 32000, Thailand

DOI:

https://doi.org/10.65205/jcct.2025.2548

Keywords:

Smart Farming, Silkworm Farming, Technology Acceptance, Silkworm Protection, Agile-Scrum

Abstract

This study aimed to develop and evaluate a smart silkworm farm application specifically designed for elderly farmers and to transfer the technology to the silkworm farming community in Ta Bao Sub-district, Prasat District, Surin Province. The research employed Mixed Methods Research combined with the Agile-Scrum development framework. The sample consisted of 30 female farmers, aged 65-70 years, with 5-15 years of experience in silkworm rearing. Results showed that the developed application significantly increased silkworm survival rates from 72% to 96% and improved average yield from 10.2 kg to 18.5 kg (+44.5%). The average rearing period decreased from 26 days to 19.1 days, while the average income per generation increased by 105.6% from 15,300 to 31,450 baht. The most popular features were feeding alerts and cleaning notifications. Initial challenges with small fonts and dialect recognition were successfully addressed in version 2. Technology transfer created a sustainable “learning community” where farmers supported each other through peer-to-peer learning.

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