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 …
[HTML][HTML] Smart Farming for Sustainable Rice Production: An Insight into Application, Challenge, and Future Prospect
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 …
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
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 …
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
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 …
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
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 …
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 …
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
Background Nutrition plays a vital role in maintaining human health. Traditional methods
used for assessing food composition and nutritional content often require destructive sample …
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 …
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
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 …
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 …
seedlings. The EfficientNet-B7-CBAM model, an improved convolutional neural network …