MULTİSPEKTRAL VE HİPERSPEKTRAL GÖRÜNTÜLEME TEKNİKLERİNİN MEYVE - SEBZE İŞLEME TESİSLERİNDE KULLANIM OLANAKLARI

Özgür Neşe Özen; Fatih Akkoyun; Ahmet Görgüç; Fatih Mehmet Yılmaz

doi:10.17780/ksujes.1398289

EN TR

POTENTIALS OF MULTISPECTRAL AND HYPERSPECTRAL IMAGING TECHNIQUES IN FRUIT AND VEGETABLE PROCESSING PLANTS

Abstract

In this study, the potentials of advanced imaging techniques, i.e., multispectral imaging and hyperspectral imaging, in the fruit and vegetable industry were reviewed. Multispectral imaging and hyperspectral imaging techniques are used for diagnosis and intervention in many applications, such as classifying fruits and vegetables, sorting them according to maturity, separating defective products, measuring drought, and determining harvest time. In experimental studies, multispectral imaging has been shown to be successful when used for classification at visible and near wavelengths. In hyperspectral imaging, it has been seen that it is used to determine specific conditions such as color, firmness, acidity, sugar, antioxidant compound amount, total soluble solids in fruits and vegetables, as well as quality parameters such as ripeness, physiological disorder, mechanical damage, sensory quality, biological defect, and has high levels success rates have been achieved. These imaging techniques provide faster results compared to other classification methods and are environmentally friendly and nondestructive to fruits and vegetables.

Keywords

MULTİSPEKTRAL VE HİPERSPEKTRAL GÖRÜNTÜLEME TEKNİKLERİNİN MEYVE - SEBZE İŞLEME TESİSLERİNDE KULLANIM OLANAKLARI

Öz

Bu çalışmada ileri görüntüleme tekniklerinden olan multispektral görüntüleme ve hiperspektral görüntülemenin meyve ve sebze endüstrisinde kullanım olanakları derlenmiştir. Multispektral görüntüleme ve hiperspektral görüntüleme teknikleri; meyve sebzeleri sınıflandırma, olgunluğa göre sıralama, kusurlu ürün ayırma, kuraklık ölçümü yapma, hasat zamanını belirleme gibi birçok uygulamada teşhis ve müdahale amacıyla kullanılmaktadır. Deneysel çalışmalarda multispektral görüntülemenin görünür ve yakın dalga boylarında gıdaların sınıflandırılması amacıyla kullanıldığında yüksek oranda başarılı olduğu görülmüştür. Hiperspektral görüntülemede ise meyve ve sebzelerde renk, sıkılık, asitlik, şeker, antioksidan madde miktarı, toplam çözünür kuru madde miktarını belirlemek gibi spesifik durumların yanında olgunluk, fizyolojik bozukluk, mekanik hasar, duyusal kalite, biyolojik kusur gibi kalite parametrelerinin belirlenmesi amacıyla da kullanıldığı görülmüş ve yüksek oranlarda başarılar elde edilmiştir. Bu görüntüleme teknikleri diğer sınıflandırma yöntemlerine kıyasla hızlı sonuç veren, çevreye duyarlı, meyve ve sebzelerde tahribat yaratmayan yöntemlerdir.

Anahtar Kelimeler

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Ayrıntılar

Birincil Dil

Türkçe

Konular

Görüntü İşleme , Gıda Mühendisliği

Bölüm

Derleme

Yazarlar

Özgür Neşe Özen
0009-0008-3192-5272
Türkiye

Fatih Akkoyun
0000-0002-1432-8926
Türkiye

Ahmet Görgüç
0000-0003-3018-4595
Türkiye

Fatih Mehmet Yılmaz ^*
0000-0002-1370-1231
Türkiye

Yayımlanma Tarihi

3 Haziran 2024

Gönderilme Tarihi

30 Kasım 2023

Kabul Tarihi

5 Ocak 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 27 Sayı: 2

DOI

https://doi.org/10.17780/ksujes.1398289

IZ

https://izlik.org/JA92BD75TW

Kaynak Göster

RIS / Bibtex

APA

Özen, Ö. N., Akkoyun, F., Görgüç, A., & Yılmaz, F. M. (2024). MULTİSPEKTRAL VE HİPERSPEKTRAL GÖRÜNTÜLEME TEKNİKLERİNİN MEYVE - SEBZE İŞLEME TESİSLERİNDE KULLANIM OLANAKLARI. Kahramanmaraş Sütçü İmam Üniversitesi Mühendislik Bilimleri Dergisi, 27(2), 643-656. https://doi.org/10.17780/ksujes.1398289