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The use of image analysis to study the effect of moisture content on the physical properties of grains
Scientific Reports · Aralık 2024
YÖKSİS Kayıtları
The use of image analysis to studythe effect of moisture contenton the physical properties of grains
Scientific Reports · 2024 SCI-Expanded
DOÇENT OSMAN ÖZBEK →
Makale Bilgileri
DergiScientific Reports
Yayın TarihiAralık 2024
Cilt / Sayfa14
Scopus ID2-s2.0-85194017158
Erişim🔓 Açık Erişim
Özet
Designing machines and equipment for post-harvest operations of agricultural products requires information about their physical properties. The aim of the work was to evaluate the possibility of introducing a new approach to predict the moisture content in bean and corn seeds based on measuring their dimensions using image analysis using artificial neural networks (ANN). Experimental tests were carried out at three levels of wet basis moisture content of seeds: 9, 13 and 17%. The analysis of the results showed a direct relationship between the wet basis moisture content and the main dimensions of the seeds. Based on the statistical analysis of the seed material, it was shown that the characteristics examined have a normal or close to normal distribution, and the seed material used in the investigation is representative. Furthermore, the use of artificial neural networks to predict the wet basis moisture content of seeds based on changes in their dimensions has an efficiency of 82%. The results obtained from the method used in this work are very promising for predicting the moisture content.
Yazarlar (4)
1
Łukasz Gierz
2
Mustafa Ahmed Jalal Al-Sammarraie
3
Osman Özbek
ORCID: 0000-0003-0034-9387
4
Piotr Markowski
Anahtar Kelimeler
Artificial neural network
Image analysis
Moisture content
Overall dimensions
Physical properties
Kurumlar
Politechnika Poznanska
Poznan Poland
Selçuk Üniversitesi
Selçuklu Turkey
University of Baghdad
Baghdad Iraq
Uniwersytet Warminsko-Mazurski w Olsztynie
Olsztyn Poland
Metrikler
2
Atıf
4
Yazar
5
Anahtar Kelime