Rice milling production transformation on safety and control A case study of forklift accidental prevention using machine learning

Name: Malinee Anan

Address: 333 Moo1, Thasud, Muang, Chiang Rai 57100

Organization : Mae Fah Luang University

Email : library@mfu.ac.th

keyword: IoT

MeSH: Internet of things

Classification :.DDC: e-thesis

; A Smart Factory

MeSH: Digital twins (Computer simulation) -- 311647

MeSH: Machine learning

MeSH: Rice mills -- 311648

LCSH: Internet of things

LCSH: Digital twins (Computer simulation) -- 311647

LCSH: Machine learning

LCSH: Rice mills -- 311648

Abstract: This study investigated the requirements analysis of a smart monitoring system designed for the rice milling process to improve the process of rice milling in Chiang Rai by using a digital transformation technology with a smart factory concept to support local users for rice milling process monitoring, and improve productivity by using digital technology, The study revealed the positive results of user requirements analysis from questionnaires confirmed that the positive of perceived usefulness (PU) and perceived ease of use (PE) that confirmed to continue working on the further step of the digital transformation process in rice milling process.

Mae Fah Luang University. Learning Resources and Educational Media Centre

Address: CHIANG RAI

Email: library@mfu.ac.th

Name: Santichai Wicha

Role: Advisor

Created: 2024

Modified: 2024-12-20

Issued: 2024-12-20

วิทยานิพนธ์/Thesis

application/pdf

CallNumber: e-thesis

eng

DegreeName: Master of Science

Level: Master's Degree

Descipline: Digital Transformation Technology

Grantor: Mae Fah Luang University

©copyrights Mae Fah Luang University

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