Non-Destructive Measurement of Rice Amylose Content Based on Image Processing and Artificial Neural Networks (ANN) Model

Non-Destructive Measurement of Rice Amylose Content Based on Image Processing and Artificial Neural Networks (ANN) Model

The purpose of this study was to develop a method of measuring the amylose content of rice using image processing techniques and an Artificial Neural Network (ANN) model. The rice samples came from six varieties, namely Way Apo Buru, Mapan P05, IR-64, Cibogo, Inpari IR Nutri Zinc, and Inpari 33. The...

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Bibliographic Details
Main Authors: Tri Wahyu Saputra, Yagus Wijayanto, Suci Ristiyana, Ika Purnamasari, Wildan Muhlison
Format: Article
Language:Indonesian
Published: Jurusan Teknik Pertanian Universitas Lampung 2022-06-01
Series:Jurnal Teknik Pertanian Lampung
Subjects:
amylose
artificial neural networks
image processing
rice
Online Access:https://jurnal.fp.unila.ac.id/index.php/JTP/article/view/5814

Internet

https://jurnal.fp.unila.ac.id/index.php/JTP/article/view/5814

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