Progress in the application of cnn-based image classification and recognition in whole crop growth cycles
The categorization and identification of agricultural imagery constitute the fundamental
requisites of contemporary farming practices. Among the various methods employed for …
requisites of contemporary farming practices. Among the various methods employed for …
Next-Generation Wheat Disease Monitoring: Leveraging Federated Convolutional Neural Networks for Severity Estimation
In this study, we investigate using federated learning for the CNN model-based prediction of
wheat disease severity levels. We employed safe aggregation approaches to training the …
wheat disease severity levels. We employed safe aggregation approaches to training the …
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 …
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 …
Classification of bread wheat genotypes by machine learning algorithms
Bread wheat, one of the staple food products, is a grain that forms the main ingredient of
flour used in bakery products, especially in bread. Wheat has a large market in the world …
flour used in bakery products, especially in bread. Wheat has a large market in the world …
Classification of bread wheat varieties with a combination of deep learning approach
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 …
main grain product in developed and underdeveloped countries. Flour obtained from wheat …
Enhancing microalgae classification accuracy in marine ecosystems through convolutional neural networks and support vector machines
Accurately classifying microalgae species is vital for monitoring marine ecosystems and
managing the emergence of marine mucilage, which is crucial for monitoring mucilage …
managing the emergence of marine mucilage, which is crucial for monitoring mucilage …
Integrated transcriptomic meta-analysis and comparative artificial intelligence models in maize under biotic stress
Biotic stress imposed by pathogens, including fungal, bacterial, and viral, can cause heavy
damage leading to yield reduction in maize. Therefore, the identification of resistant genes …
damage leading to yield reduction in maize. Therefore, the identification of resistant genes …
Benchmarking of CNN models and mobilenet-BiLSTM approach to classification of tomato seed cultivars
K Sabanci - Sustainability, 2023 - mdpi.com
In the present study, a deep learning-based two-scenario method is proposed to distinguish
tomato seed cultivars. First, images of seeds of four different tomato cultivars (Sacher F1 …
tomato seed cultivars. First, images of seeds of four different tomato cultivars (Sacher F1 …
Deep learning-based classification of microalgae using light and scanning electron microscopy images
Microalgae possess diverse applications, such as food production, animal feed, cosmetics,
plastics manufacturing, and renewable energy sources. However, uncontrolled proliferation …
plastics manufacturing, and renewable energy sources. However, uncontrolled proliferation …