Detection of fish freshness using artificial intelligence methods

ET Yasin, IA Ozkan, M Koklu - European Food Research and Technology, 2023 - Springer
Fish is commonly acknowledged as a highly nutritious food in many regions worldwide, and
humans have been consuming fish for centuries to meet their protein and nutritional …

Segmentation of dry bean (Phaseolus vulgaris L.) leaf disease images with U-Net and classification using deep learning algorithms

R Kursun, KK Bastas, M Koklu - European Food Research and …, 2023 - Springer
Detecting plant diseases is a challenging and time-consuming task that requires expertise
and laboratory conditions. Deep learning methods have been proposed as a solution to this …

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 …

Machine learning techniques for coffee classification: a comprehensive review of scientific research

IVC Motta, N Vuillerme, HH Pham… - Artificial Intelligence …, 2024 - Springer
In the realm of agribusiness, transformative shifts are underway, propelled by the growing
demands and expanding scales of grain production. This evolution calls for a critical …

Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application

MB Yildiz, ET Yasin, M Koklu - European Food Research and Technology, 2024 - Springer
Fish is commonly ingested as a source of protein and essential nutrients for humans. To fully
benefit from the proteins and substances in fish it is crucial to ensure its freshness. If fish is …

Beef quality classification with reduced e-nose data features according to beef cut types

A Feyzioglu, YS Taspinar - Sensors, 2023 - mdpi.com
Ensuring safe food supplies has recently become a serious problem all over the world.
Controlling the quality, spoilage, and standing time for products with a short shelf life is a …

Benchmarking analysis of CNN models for bread wheat varieties

A Yasar - European Food Research and Technology, 2023 - Springer
Most of the wheat produced and consumed worldwide is generally bread wheat and is used
for bread making. Bread wheat varieties can affect the quality of bread. When comparing …

Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network

EK Yılmaz, K Adem, S Kılıçarslan, HA Aydın - European Food Research …, 2023 - Springer
Agricultural product quality assessment is crucial for determining marketability and
managing waste. It helps ensure that products meet industry standards and consumer …

Machine learning-based classification of infected date palm leaves caused by dubas insects: a comparative analysis of feature extraction methods and classification …

R Kursun, ET Yasin, M Koklu - 2023 Innovations in Intelligent …, 2023 - ieeexplore.ieee.org
This study investigates the utilization of machine learning techniques for effectively
classifying infected date palm leaves caused by Dubas insects. Three distinct feature …

[PDF][PDF] Deep learning-based classification of black gram plant leaf diseases: A comparative study

ET Yasin, R Kursun, M Koklu - 11th International conference on …, 2023 - researchgate.net
The escalating incidence of plant diseases presents considerable obstacles to the
agricultural domain, resulting in substantial reductions in crop yield and posing a threat to …