Prototype of Swiftlet Nest Moisture Content Measurement Using Resistance Sensor and Machine Learning

Prototype of Swiftlet Nest Moisture Content Measurement Using Resistance Sensor and Machine Learning

Swiftlet nests are highly valued for their health and cosmetic benefits, with moisture content crucial in determining their quality. Traditional moisture measurement methods are often slow and can potentially damage the samples. This study introduces PRORESKA, an innovative system utilizing resistan...

Full description

Saved in:
Bibliographic Details
Main Authors: Ratu Anggriani Tangke Parung, Hanna Arini Parhusip, Suryasatriya Trihandaru
Format: Article
Language:English
Published: Ikatan Ahli Informatika Indonesia 2024-10-01
Series:Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)
Subjects:
swallow’s nests
moisture content
iot
machine learning
neural network
proreska
Online Access:https://jurnal.iaii.or.id/index.php/RESTI/article/view/5923
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items