ResNet deep models and transfer learning technique for classification and quality detection of rice cultivars
Rice classification and quality detection are therefore crucial for ensuring the safety and
quality of rice for human consumption and reducing the financial losses associated with rice …
quality of rice for human consumption and reducing the financial losses associated with rice …
A deep learning framework for processing and classification of hyperspectral rice seed images grown under high day and night temperatures
A framework combining two powerful tools of hyperspectral imaging and deep learning for
the processing and classification of hyperspectral images (HSI) of rice seeds is presented. A …
the processing and classification of hyperspectral images (HSI) of rice seeds is presented. A …
[HTML][HTML] Rice-ResNet: Rice classification and quality detection by transferred ResNet deep model
Efficient classification and quality assessment of rice varieties are essential for market
pricing, food safety, and consumer satisfaction in the global rice sector. Leveraging pre …
pricing, food safety, and consumer satisfaction in the global rice sector. Leveraging pre …
Classification of Rice Varieties Using VGG-19 and Alexnet
S Ponmalar, M Devavaishnee… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
A comparative analysis of deep learning techniques for the classification of rice varieties.
Leveraging Convolutional Neural Networks (CNNs), VGG19, and AlexNet architectures, we …
Leveraging Convolutional Neural Networks (CNNs), VGG19, and AlexNet architectures, we …
[PDF][PDF] A CNN-LSTM-based Approach for Classification and Quality Detection of Rice Varieties
S Mavaddati, M Razavi - jad.shahroodut.ac.ir
Rice is one of the most important staple crops in the world and provides millions of people
with a significant source of food and income. Problems related to rice classification and …
with a significant source of food and income. Problems related to rice classification and …