Performance Comparison of Machine Learning Algorithms for Identification of Physiological Maturity of Pineapple using Optical Property-Reference-Cited by-同舟云学术

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Performance Comparison of Machine Learning Algorithms for Identification of Physiological Maturity of Pineapple using Optical Property

Published:2023-03-03 Issue: Volume: Page:
ISSN:
Container-title:2023 15th International Conference on Computer and Automation Engineering (ICCAE)
language:
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Author:

Lapcharoensuk Ravipat¹,Phannote Noppadon²,Kasetyangyunsapa Dimae²

Affiliation:

1. King Mongkut's Institute of Technology Ladkrabang,School of Engineering,Department of Agricultural Engineering,Bangkok,Thailand

2. Rajamangala University of Technology Tawan-ok,Division of Agricultural Engineering, School of Engineering,Chonburi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10111091/10111098/10111216.pdf?arnumber=10111216

Reference21 articles.

1. X-RAY ASSESSMENT OF TRANSLUCENCY IN PINEAPPLE

2. Quality prediction of different pineapple (Ananas comosus) varieties during storage using infrared thermal imaging technique

3. Quality evaluation of pineapple fruit during drying process

4. Pineapple maturity recognition using RGB extraction;asnor;International Journal of Electrical and Computer Engineering,2013

5. Classification of thermally modified wood by FT-NIR spectroscopy and SIMCA

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Research Status and Development Trend of Key Technologies for Pineapple Harvesting Equipment: A Review;Agriculture;2024-06-22

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