[HTML][HTML] An improved lightweight ConvNeXt for rice classification

P Lv, H Xu, Q Zhang, L Shi, H Li, Y Chen… - Alexandria Engineering …, 2025 - Elsevier
Under the pressure of climate change, the international food market is facing great
uncertainty. Rice is widely grown as a major worldwide food crop, and different rice seeds …

[HTML][HTML] Automatic detection of scratching events on vehicles with audio-based spectrograms

AR Soares, AL Ferreira, JM Fernandes - Expert Systems with Applications, 2025 - Elsevier
The identification of damages, specifically scratches, on the structure of vehicles is a
challenge to many businesses. In most automobile industries, this process is mainly …

TobaccoNet: A deep learning approach for tobacco leaves maturity identification

Y Wu, JG Huang, C Yang, J Yang, G Sun… - Expert Systems with …, 2024 - Elsevier
The maturity of fresh tobacco leaves significantly impacts the quality of subsequent curing
processes, making accurate recognition of tobacco leaves maturity crucial. The development …

Streamlining plant disease diagnosis with convolutional neural networks and edge devices

MF Ahamed, A Salam, M Nahiduzzaman… - Neural Computing and …, 2024 - Springer
In addressing labor-intensive process of manual plant disease detection, this article
introduces an innovative solution—the lightweight parallel depthwise separable …

[PDF][PDF] Evaluating the impact of data normalization on rice classification using machine learning algorithms

A Çelik - Acadlore Transactions on AI and Machine Learning, 2024 - library.acadlore.com
Rice is a staple food for a significant portion of the global population, particularly in countries
where it constitutes the primary source of sustenance. Accurate classification of rice varieties …

Towards Sustainable Agriculture: A Novel Approach for Rice Leaf Disease Detection Using dCNN and Enhanced Dataset

MH Bijoy, N Hasan, M Biswas, S Mazumdar… - IEEE …, 2024 - ieeexplore.ieee.org
Rice is one of the foremost food grains that dispenses sustenance to about half of the world's
population. It is cultivated all over the world. The leaf disease detection of this crop is one of …

[HTML][HTML] Enhancing rice seed purity recognition accuracy based on optimal feature selection

NLH Bao - Ecological Informatics, 2025 - Elsevier
This study proposes a robust and accurate approach for classifying rice variety purity to meet
stringent agricultural standards. To achieve this, we construct a comprehensive dataset by …

Deep Learning for Precise Rice Multi-Class Classification: Unveiling the Potential of CNNs

R Rajora, H Gupta, S Malhotra… - … Conference on E …, 2024 - ieeexplore.ieee.org
This research delves into the difficult realm of classifying rice. It concentrates on five
common kinds cultivated in Turkey: Arborio, Basmati, Ipsala, Jasmine, and Karacadag. The …

Deep Learning for Precision Agriculture: Evaluating CNNs and Vision Transformers in Rice Disease Classification

S Chitta, VK Yandrapalli… - 2024 OPJU International …, 2024 - ieeexplore.ieee.org
Rice leaf diseases pose a significant threat to crop yield and food security in agricultural
sectors globally, particularly in India, where rice is a staple crop. Traditional methods for …

A rapid identification technique for rice adulteration based on improved YOLOV8 model

Y Zhang, X Xing, L Zhu, X Li, JN Wang… - Measurement …, 2025 - iopscience.iop.org
Rice classification and quality testing are essential to ensure its safety and quality, and can
effectively reduce food economic losses associated with rice, which is currently the subject …