Precision techniques and agriculture 4.0 technologies to promote sustainability in the coffee sector: state of the art, challenges and future trends
Precision Agriculture (PA) and Agriculture 4.0 (A4. 0) have been widely discussed as a
medium to address the challenges related to agricultural production. In this research, we …
medium to address the challenges related to agricultural production. In this research, we …
[HTML][HTML] Horticulture 4.0: Adoption of industry 4.0 technologies in horticulture for meeting sustainable farming
The United Nations emphasized a significant agenda on reducing hunger and protein
malnutrition as well as micronutrient (vitamins and minerals) malnutrition, which is estimated …
malnutrition as well as micronutrient (vitamins and minerals) malnutrition, which is estimated …
Machine learning and application in terahertz technology: A review on achievements and future challenges
Y Jiang, G Li, H Ge, F Wang, L Li, X Chen, M Lu… - IEEE …, 2022 - ieeexplore.ieee.org
Terahertz (THz) radiation (THz) shows great potential in agricultural products detection,
biomedical, and security inspection in recent years. Machine learning methods are widely …
biomedical, and security inspection in recent years. Machine learning methods are widely …
[HTML][HTML] Radar sensing for activity classification in elderly people exploiting micro-doppler signatures using machine learning
The health status of an elderly person can be identified by examining the additive effects of
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …
aging along with disease linked to it and can lead to 'unstable incapacity'. This health status …
[HTML][HTML] Novel analysis of food processes by terahertz spectral imaging: A review of recent research findings
Background Process analysis is an important step for online food quality control during food
processing. Among the emerging non-destructive examination techniques that offer rapid …
processing. Among the emerging non-destructive examination techniques that offer rapid …
Real-time moisture ratio study of drying date fruit chips based on on-line image attributes using kNN and random forest regression methods
The purpose of this study is to eliminate weighing tools for moisture ratio (MR) estimation
due to the high noise in the weighing system of Electro-Hydrodynamic (EHD) dryers. For this …
due to the high noise in the weighing system of Electro-Hydrodynamic (EHD) dryers. For this …
[HTML][HTML] Grand challenges in IoT and sensor networks
The exponential growth in mobile traffic seen in the last couple of years, mainly due to the
vast amount of wireless devices, such as smart phones and the Internet of Things (IoT), has …
vast amount of wireless devices, such as smart phones and the Internet of Things (IoT), has …
Convolutional neural network-based terahertz spectral classification of liquid contraband for security inspection
Terahertz (THz) spectroscopy is now achieving increasing attention in security inspection
owning to its non-destructiveness and deep penetrability of most packaging materials, such …
owning to its non-destructiveness and deep penetrability of most packaging materials, such …
Artificial neural networks for material parameter extraction in terahertz time-domain spectroscopy
Terahertz time-domain spectroscopy (THz-TDS) is a proven technique whereby the complex
refractive indices of materials can be obtained without requiring the use of the Kramers …
refractive indices of materials can be obtained without requiring the use of the Kramers …
[HTML][HTML] Intelligent reflecting surface-based non-LOS human activity recognition for next-generation 6G-enabled healthcare system
Human activity monitoring is a fascinating area of research to support autonomous living in
the aged and disabled community. Cameras, sensors, wearables, and non-contact …
the aged and disabled community. Cameras, sensors, wearables, and non-contact …