Machine learning driven non-invasive approach of water content estimation in living plant leaves using terahertz waves
Background The demand for effective use of water resources has increased because of
ongoing global climate transformations in the agriculture science sector. Cost-effective and …
ongoing global climate transformations in the agriculture science sector. Cost-effective and …
[HTML][HTML] Machine learning enabled identification and real-time prediction of living plants' stress using terahertz waves
Considering the ongoing climate transformations, the appropriate and reliable phenotyping
information of plant leaves is quite significant for early detection of disease, yield …
information of plant leaves is quite significant for early detection of disease, yield …
Remote material characterization with complex baseband FMCW radar sensors
This paper presents the theoretical basis and experimental validation for a technique to
remotely characterize materials using FMCW radar sensors with complex baseband …
remotely characterize materials using FMCW radar sensors with complex baseband …
Indoor material properties extraction from scattering parameters at frequencies from 750 GHz to 1.1 Thz
This paper reports the first ever transmission measurements for a wide choice of different
indoor materials such as wood, plastic, paper, brick, glass and leather at frequencies from …
indoor materials such as wood, plastic, paper, brick, glass and leather at frequencies from …
See-through soil measurements at 300 GHz
Over time, terahertz waves (T-waves) have succeeded in gaining a foothold in various areas
ranging from localization, imaging, communications, to characterization. Due to several …
ranging from localization, imaging, communications, to characterization. Due to several …
A Self-Calibrated Plant Water Estimation Sensor
In this paper, a self-calibrated plant water estimation sensor based on the concept of
spectral dispersion is presented. The double reversal anomalous phase is exploited to …
spectral dispersion is presented. The double reversal anomalous phase is exploited to …
[PDF][PDF] Defence Technology
abstract Considering the ongoing climate transformations, the appropriate and reliable
phenotyping information of plant leaves is quite significant for early detection of disease …
phenotyping information of plant leaves is quite significant for early detection of disease …
[HTML][HTML] Machine learning driven non-invasive approach for the detection of anomalies in living plant leaves and water at cellular level using terahertz sensing
A Zahid - 2020 - theses.gla.ac.uk
In recent times, an increasing global aridification due to climate transformations and
unceasing expansion of population have posed enormous challenges on the environment …
unceasing expansion of population have posed enormous challenges on the environment …