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 …
demands and expanding scales of grain production. This evolution calls for a critical …
Segmentation of dry bean (Phaseolus vulgaris L.) leaf disease images with U-Net and classification using deep learning algorithms
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 …
and laboratory conditions. Deep learning methods have been proposed as a solution to this …
Detection of fish freshness using artificial intelligence methods
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 …
humans have been consuming fish for centuries to meet their protein and nutritional …
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 …
for bread making. Bread wheat varieties can affect the quality of bread. When comparing …
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 …
Controlling the quality, spoilage, and standing time for products with a short shelf life is a …
Maize seeds forecasting with hybrid directional and bi‐directional long short‐term memory models
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 …
the classification of maize cultivars constitutes a significant problem. Within the scope of this …
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 …
cultivation areas and production capacity of wheat worldwide have been observed to …
[HTML][HTML] Hybridizing Long Short-Term Memory and Bi-Directional Long Short-Term Memory Models for Efficient Classification: A Study on Xanthomonas axonopodis …
This study was conducted on Xanthomonas axonopodis pv, which causes significant
economic losses in the agricultural sector. Here, we study a common bacterial blight disease …
economic losses in the agricultural sector. Here, we study a common bacterial blight disease …
Classification of lemon quality using hybrid model based on Stacked AutoEncoder and convolutional neural network
Agricultural product quality assessment is crucial for determining marketability and
managing waste. It helps ensure that products meet industry standards and consumer …
managing waste. It helps ensure that products meet industry standards and consumer …
Fisheye freshness detection using common deep learning algorithms and machine learning methods with a developed mobile application
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 …
benefit from the proteins and substances in fish it is crucial to ensure its freshness. If fish is …