Prediction of Six Products from the Cucurbitaceae Family Using Visible/Near-Infrared Spectroscopic Data
Author:
Affiliation:
1. Department of Electrical and Electronics Engineering, Karadeniz Technical University, Trabzon 61080, Turkey (Corresponding author), e-mail: onderaydemir@ktu.edu.tr, https://orcid.org/0000-0002-1177-8518
Publisher
ASTM International
Subject
Mechanical Engineering,Mechanics of Materials,General Materials Science
Reference23 articles.
1. Vegetables from the Cucurbitaceae Family and Their Products: Positive Effect on Human Health;Rolnik;Nutrition,2020
2. Multi-product Calibration Model for Soluble Solids and Water Content Quantification in Cucurbitaceae Family, Using Visible/Near-Infrared Spectroscopy;Kusumiyati;Heliyon,2021
3. Phytochemicals of Cucurbitaceae Family—A Review;Rajasree;International Journal of Pharmacognosy and Phytochemical Research,2016
4. Visible/Near Infrared (VIS/NIR) Spectroscopy as an Optical Sensor for Evaluating Olive Oil Quality;Abu-Khalaf;Computers and Electronics in Agriculture,2020
5. Visible-Near Infrared Spectroscopy for Detection of Huanglongbing in Citrus Orchards;Sankaran;Computers and Electronics in Agriculture,2011
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