Affiliation:
1. Department of Electric‐Electronic Engineering Selcuk University Konya Turkey
2. Department of Computer Engineering Selcuk University Konya Turkey
3. Doganhisar Vocational School Selcuk University Konya Turkey
4. Guneysinir Vocational School Selcuk University Konya Turkey
5. Department of Mechatronic Engineering Selcuk University Konya Turkey
Abstract
AbstractThe purity of the seeds is one of the important factors that increase the yield. For this reason, the classification of maize cultivars constitutes a significant problem. Within the scope of this study, six different classification models were designed to solve this problem. A special dataset was created to be used in the models designed for the study. The dataset contains a total of 14,469 images in four classes. Images belong to four different maize types, BT6470, CALIPOS, ES_ARMANDI, and HIVA, taken from the BIOTEK company. AlexNet and ResNet50 architectures, with the transfer learning method, were used in the models created for the image classification. In order to improve the classification success, LSTM (Directional Long Short‐Term Memory) and BiLSTM (Bi‐directional Long Short‐Term Memory) algorithms and AlexNet and ResNet50 architectures were hybridized. As a result of the classifications, the highest classification success was obtained from the ResNet50+BiLSTM model with 98.10%.
Funder
Türkiye Bilimsel ve Teknolojik Araştırma Kurumu
Reference56 articles.
1. A novel chaotic transient search optimization algorithm for global optimization, real‐world engineering problems and feature selection;Altay O.;PeerJ Computer Science,2023
2. Investigation of slime Mould algorithm and hybrid slime Mould Algorithms' performance in global optimization problems;Altay O.;Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi,2023
3. High speed measurement of corn seed viability using hyperspectral imaging;Ambrose A.;Infrared Physics & Technology,2016
4. Ashqar B. A. Abu‐Nasser B. S. &Abu‐Naser S. S.(2019).Plant seedlings classification using deep learning.International Journal Of All Research Writings.
5. CNN and HOG based comparison study for complete occlusion handling in human tracking;Aslan M. F.;Measurement,2020