Progress in the application of cnn-based image classification and recognition in whole crop growth cycles

F Yu, Q Zhang, J **ao, Y Ma, M Wang, R Luan, X Liu… - Remote Sensing, 2023 - mdpi.com
The categorization and identification of agricultural imagery constitute the fundamental
requisites of contemporary farming practices. Among the various methods employed for …

[HTML][HTML] Smart Farming for Sustainable Rice Production: An Insight into Application, Challenge, and Future Prospect

N Hashim, MM Ali, MR Mahadi, AF Abdullah… - Rice Science, 2024 - Elsevier
Rice has a huge impact on socio-economic growth, and ensuring its sustainability and
optimal utilization is vital. This review provides an insight into the role of smart farming in …

Smartphone embedded deep learning approach for highly accurate and automated colorimetric lactate analysis in sweat

E Yüzer, V Doğan, V Kılıç, M Şen - Sensors and Actuators B: Chemical, 2022 - Elsevier
Here, a microfluidic paper-based analytical device (μPAD) was first combined with a deep
learning-based smartphone app called “DeepLactate” and then applied for quantitative and …

Detection of compound faults in ball bearings using multiscale-SinGAN, heat transfer search optimization, and extreme learning machine

V Suthar, V Vakharia, VK Patel, M Shah - Machines, 2022 - mdpi.com
Intelligent fault diagnosis gives timely information about the condition of mechanical
components. Since rolling element bearings are often used as rotating equipment parts, it is …

Automated detection of mechanical damage in flaxseeds using radiographic imaging and machine learning

M Nadimi, LG Divyanth, J Paliwal - Food and Bioprocess Technology, 2023 - Springer
The growing demand for flaxseed as a source of healthy edible oil mandates the need for
adopting novel strategies for preserving its quantity and quality. Mechanical damage during …

Feature fusion-based malicious code detection with dual attention mechanism and BiLSTM

G Shen, Z Chen, H Wang, H Chen, S Wang - Computers & Security, 2022 - Elsevier
Malicious code has become an important factor threatening network security. Single feature-
based malicious code detection methods have achieved good detection results, but when …

Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances

S Kaushal, DK Tammineni, P Rana, M Sharma… - Trends in Food Science …, 2024 - Elsevier
Background Nutrition plays a vital role in maintaining human health. Traditional methods
used for assessing food composition and nutritional content often require destructive sample …

Recent advances in rice milling technology: Effect on nutrient, physical properties and digestibility

XY Tie, NN An, D Li, LJ Wang… - Food Reviews International, 2024 - Taylor & Francis
The milling plays a crucial role in producing polished rice grains suitable for daily
consumption. By using VOSviewer software, 522 articles on rice milling retrieved from the …

[HTML][HTML] Application of artificial intelligence techniques to addressing and mitigating biotic stress in paddy crop: A review

S Shubhika, P Patel, R Singh, A Tripathi, S Prajapati… - Plant Stress, 2024 - Elsevier
Agriculture provides basic livelihood for a large section of world's population. It is the oldest
economic activity in India, with two third of Indian population involved in crop production …

Classification of plug seedling quality by improved convolutional neural network with an attention mechanism

X Du, L Si, X **, P Li, Z Yun, K Gao - Frontiers in Plant Science, 2022 - frontiersin.org
The classification of plug seedling quality plays an active role in enhancing the quality of
seedlings. The EfficientNet-B7-CBAM model, an improved convolutional neural network …