Canned fruit brix prediction using machine learning using deep neural network

Name: Peeraya Klaisangh

keyword: Artificial neural network

; Quality prediction

; Fruits

; Food industry

Abstract: Fruit grading procedures are delicate processes that require time, skills, and high investment. This is due to the grading process that needs appropriate equipment to measure the specific quality of the fruits, which is the key factor in deciding whether the fruit is of high quality or not. Therefore, to minimize these requirements, this paper proposes an artificial neural network model to help in predicting the Brix value of the fruit from numerical parameters. The main objective of this paper is to be able to accurately predict the Brix value

Thammasat University. Thammasat University Library

Address: BANGKOK

Email: preserv@tu.ac.th

Name: Jirachai Buddhakulsomsiri

Role: advisor

Created: 2021

Modified: 2023-04-20

Issued: 2023-04-20

วิทยานิพนธ์/Thesis

application/pdf

DOI: 10.14457/TU.the.2021.585

eng

DegreeName: Master of Engineering

Level: Master's Degree

Descipline: Logistics and Supply Chain Systems Engineering

Grantor: Thammasat University

©copyrights Thammasat University

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