Developing a prediction method for physicochemical characteristics of Pontianak Siam orange (Citrus suhuiensis cv. Pontianak) based on combined reflectance-Fluorescence spectroscopy and artificial neural network-Reference-Cited by-同舟云学术

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Developing a prediction method for physicochemical characteristics of Pontianak Siam orange (Citrus suhuiensis cv. Pontianak) based on combined reflectance-Fluorescence spectroscopy and artificial neural network

Published:2024-08 Issue: Volume:9 Page:100303
ISSN:2666-8319
Container-title:Talanta Open
language:en
Short-container-title:Talanta Open

Author:

Sandra ,Said Abdullah,Tulsi Ahmad Avatar,Indriani Dina Wahyu,Yulianingsih Rini,Hawa La Choviya,Kondo Naoshi,Al Riza Dimas Firmanda^ORCID

Publisher

Elsevier BV

Reference20 articles.

1. Badan Pusat Statistik (BPS), Produksi Tanaman Buah-Buahan 2021, Jakarta, 2022.

2. Klasifikasi rasa buah jeruk pontianak berdasarkan warna kulit buah jeruk menggunakan metode K-Nearest neighbor;Barkah;Coding Rekayasa Sist. Komput,2020

3. H.R. Utami, Analisis Mutu Kimia Jeruk Siam (Citrus nobilis Lour.) Selama Penyimpanan pada Suhu Dingin, (2019) 1–47.

4. Monitoring of fluorescence characteristics of satsuma mandarin (Citrus unshiu Marc.) during the maturation period;Muharfiza;Horticulturae,2017

5. Characterization and classification of citrus reticulata var. Keprok Batu 55 Using Image Processing and Artificial Intelligence;Zakiyyah;Univers. J. Agric. Res.,2022

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. Rapid elimination of scattering in three-dimensional fluorescence spectra via deep learning;Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy;2024-09

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