A step forward in food science, technology and industry using artificial intelligence

R Esmaeily, MA Razavi, SH Razavi - Trends in Food Science & Technology, 2024 - Elsevier
Background As same as the priority and importance of food for being alive for humans, its
science play also a significant role in the world. So, food science, food technology, food …

Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models

H Isik, S Tasdemir, YS Taspinar, R Kursun… - Food Science & …, 2024 - Wiley Online Library
The 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 …

Ensemble and optimization algorithm in support vector machines for classification of wheat genotypes

M Khan, BK Hooda, A Gaur, V Singh, Y **dal… - Scientific Reports, 2024 - nature.com
This study aimed to classifying wheat genotypes using support vector machines (SVMs)
improved with ensemble algorithms and optimization techniques. Utilizing data from 302 …

Classification of bread wheat varieties with a combination of deep learning approach

A Yasar, A Golcuk, OF Sari - European Food Research and Technology, 2024 - Springer
Wheat is one of the most produced and consumed grain products worldwide. Wheat is the
main grain product in developed and underdeveloped countries. Flour obtained from wheat …

Analysis of selected deep features with CNN-SVM-based for bread wheat seed classification

A Yasar - European Food Research and Technology, 2024 - Springer
The main ingredient of flour is processed wheat. Wheat is an agricultural product that is
harvested once a year. It may be necessary to choose the variety of wheat for growing wheat …

A comparative study of bread wheat varieties identification on feature extraction, feature selection and machine learning algorithms

S Kılıçarslan, S Kılıçarslan - European Food Research and Technology, 2024 - Springer
Wheat is unquestionably the primary source of sustenance in human dietary intake. The
cultivation areas and production capacity of wheat worldwide have been observed to …

[HTML][HTML] Classification and Analysis of Agaricus bisporus Diseases with Pre-Trained Deep Learning Models

U Albayrak, A Golcuk, S Aktas, U Coruh, S Tasdemir… - Agronomy, 2025 - mdpi.com
This research evaluates 20 advanced convolutional neural network (CNN) architectures for
classifying mushroom diseases in Agaricus bisporus, utilizing a custom dataset of 3195 …

Deep Learning‐Based Classification of Image Data Sets Containing 111 Different Seeds

B Tugrul, R Eryigit, Y Ar - Advanced Theory and Simulations, 2023 - Wiley Online Library
Image analysis plays a crucial role in understanding and protecting biodiversity. A wide
variety of images are used in research on identifying and classifying plants, including stems …

SMOTE vs. KNNOR: An evaluation of oversampling techniques in machine learning

İ Abacı, K Yıldız - Gümüşhane Üniversitesi Fen Bilimleri Dergisi, 2023 - dergipark.org.tr
The increasing availability of big data has led to the development of applications that make
human life easier. In order to process this data correctly, it is necessary to extract useful and …

[HTML][HTML] The study of an adaptive bread maker using machine learning

J Lee, Y Kim, S Kim - Foods, 2023 - mdpi.com
Bread is one of the most consumed foods in the world, and modern food processing
technologies using artificial intelligence are crucial in providing quality control and …