Nano-technology for Real-Time Control of the Red Palm …
327
spectral signal that is consequential above the noise level. Discrimination is based on
the spectral signal to be detectable and difference from adjacent material. However,
identification is both discrimination and a spectral band. The abundance of spectral
information and power in distinguishing objects are the advantages of hyperspectral
data. However, it does not mean that the more bands are used, the better because
of the following points. There is an evident correlation between bands, which will
destroy the normal distribution of spectra and influence the classification accuracy. If
all the bands are used in classification without selection, the classification precision
will decrease instead of increase. Second, the more bands are selected, the more
training samples are needed to classify correctly. It is very difficult for hyperspectral
data to find sufficient and correct training samples that can meet the demand of the
classifier if too many bands are chosen in classification. Third, an increase of band
number in the classification will inevitably result in the increase in processing time
and cost that will reduce the processing speed and benefit.
3.2 Overall Nano System for RPW
Figure 2 shows the overall Nano system technology for RPW detection and control.
The starting point to achieve the main goal of detection and control RPW is the
building nano scale system. The presented Fig. 2 describes the overall design of the
NanoTechnology
For RPW
Control and
Prevent
Ultra-Sonic
Waves
Nano-Pesticide
Cure
Nano-Pesticide
Detection
Near Sensing by
Nano Sensors
Sound Sensor
for Small Area
Thermal Sensor
for Small Area
Remote Sensing
by Sensors
Hyper Spectral
Sensor for Large
Areas
Hyper Thermal
Sensor for Large
Areas
Fig. 2 Overall nano system for RPW detection and control
327
spectral signal that is consequential above the noise level. Discrimination is based on
the spectral signal to be detectable and difference from adjacent material. However,
identification is both discrimination and a spectral band. The abundance of spectral
information and power in distinguishing objects are the advantages of hyperspectral
data. However, it does not mean that the more bands are used, the better because
of the following points. There is an evident correlation between bands, which will
destroy the normal distribution of spectra and influence the classification accuracy. If
all the bands are used in classification without selection, the classification precision
will decrease instead of increase. Second, the more bands are selected, the more
training samples are needed to classify correctly. It is very difficult for hyperspectral
data to find sufficient and correct training samples that can meet the demand of the
classifier if too many bands are chosen in classification. Third, an increase of band
number in the classification will inevitably result in the increase in processing time
and cost that will reduce the processing speed and benefit.
3.2 Overall Nano System for RPW
Figure 2 shows the overall Nano system technology for RPW detection and control.
The starting point to achieve the main goal of detection and control RPW is the
building nano scale system. The presented Fig. 2 describes the overall design of the
NanoTechnology
For RPW
Control and
Prevent
Ultra-Sonic
Waves
Nano-Pesticide
Cure
Nano-Pesticide
Detection
Near Sensing by
Nano Sensors
Sound Sensor
for Small Area
Thermal Sensor
for Small Area
Remote Sensing
by Sensors
Hyper Spectral
Sensor for Large
Areas
Hyper Thermal
Sensor for Large
Areas
Fig. 2 Overall nano system for RPW detection and control