Scopus
YÖKSİS Eşleşti
The use of machine learning methods in classification of pumpkin seeds (Cucurbita pepo L.)
Genetic Resources and Crop Evolution · Ekim 2021
YÖKSİS Kayıtları
The use of machine learning methods in classification of pumpkin seeds (Cucurbita pepo L.)
Genetic Resources and Crop Evolution · 2021 SCI-Expanded
DOÇENT OSMAN ÖZBEK →
The Use of Machine Learning Methods in Classification of Pumpkin Seeds (Cucurbita Pepo L.)
Genetic Resources and Crop Evolution · 2021 SCI-Expanded
DOÇENT MURAT KÖKLÜ →
Makale Bilgileri
DergiGenetic Resources and Crop Evolution
Yayın TarihiEkim 2021
Cilt / Sayfa68 · 2713-2726
Scopus ID2-s2.0-85108803388
Özet
Pumpkin seeds are frequently consumed as confection worldwide because of their adequate amount of protein, fat, carbohydrate, and mineral contents. This study was carried out on the two most important and quality types of pumpkin seeds, “Ürgüp Sivrisi” and “Çerçevelik”, generally grown in Ürgüp and Karacaören regions in Turkey. However, morphological measurements of 2500 pumpkin seeds of both varieties were made possible by using the gray and binary forms of threshold techniques. Considering morphological features, all the data were modeled with five different machine learning methods: Logistic Regression (LR), Multilayer Perceptrons (MLP), Support Vector Machine (SVM) and Random Forest (RF), and k-Nearest Neighbor (k-NN), which further determined the most successful method for classifying pumpkin seed varieties. However, the performances of the models were determined with the help of the 10 k-fold cross-validation method. The accuracy rates of the classifiers were obtained as LR 87.92 percent, MLP 88.52 percent, SVM 88.64 percent, RF 87.56 percent, and k-NN 87.64 percent.
Yazarlar (3)
1
Murat Koklu
ORCID: 0000-0002-2737-2360
2
Seyma Sarigil
3
Osman Özbek
ORCID: 0000-0003-0034-9387
Anahtar Kelimeler
Classification
Logistic regression
Multilayer peceptrons
Pumpkin seed
Random forest
Support vector machine
Thresholding
Kurumlar
Selçuk Üniversitesi
Selçuklu Turkey
Metrikler
24
Atıf
3
Yazar
7
Anahtar Kelime