Using hyperspectral imaging technology and machine learning algorithms for assessing internal quality parameters of apple fruits

Çetin N., Karaman K., Kavuncuoğlu E., Yıldırım B., Jahanbakhshi A.

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS, cilt.230, sa.1, ss.1-29, 2022 (SCI-Expanded, Scopus)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 230 Sayı: 1
• Basım Tarihi: 2022
• Doi Numarası: 10.1016/j.chemolab.2022.104650
• Dergi Adı: CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, Applied Science & Technology Source, Biotechnology Research Abstracts, Chemical Abstracts Core, Chimica, Computer & Applied Sciences, EMBASE, INSPEC
• Sayfa Sayıları: ss.1-29
• Anahtar Kelimeler: Apple, Ripeness level, Nondestructive testing, Firmness, Spectroscopy, Hyperspectral imaging
• Sivas Cumhuriyet Üniversitesi Adresli: Evet