Application of Remote Sensing in Agriculture
Added on 2023-01-03
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Running head: APPLICATION OF REMOTE SENSING IN AGRICULTURE
APPLICATION OF REMOTE SENSING IN AGRICULTURE
Name of the Student
Name of the University
Author note
APPLICATION OF REMOTE SENSING IN AGRICULTURE
Name of the Student
Name of the University
Author note
1APPLICATION OF REMOTE SENSING IN AGRICULTURE
Chosen primary research: Hunt, E.R., Daughtry, C.S., Mirsky, S.B. and Hively, W.D.,
2014, Remote sensing with simulated unmanned aircraft imagery for precision agriculture
applications
From past 10 years the remote sensing technology is widely used to detect various
properties of the ground, especially those are highly influential in agricultural activities.
Satellite based thermal imaging system is a conventional method of biophysical and the
biochemical scanning for monitoring vegetation quality of the ground (Wójtowicz,
Wójtowicz and Piekarczyk 2016). Low altitude ground scanning is another ground breaking
intervention in this remote sensing system that. In 2014, Hunt, E.R., Daughtry, C.S., Mirsky,
S.B. and Hively, W.D., studied a new possible advancement of this technology though
introducing unmanned aircraft based high pixel scanning. The study certainly has a
significant value in remote sensing technical advancement which con enhance the ability of
scanning ground for agricultural assessment.
In the experimental study Hunt et al (2014), has used the unmanned aircraft system or
UAS as remote sensor carrier for precision agriculture by claiming that it has better ability to
acquire images with very small pixel size as well as better precision of ground surface. In
order to testify this claim the researchers conducted an experiment where a Fuji IS-Pro UVIR
digital camera was used to get images from 3-m height. Both RBG (Red Blue Green) true
colour imaging and UV-IR cut filter were used to show whether 1 millimetre pixel imaging
has significantly better capability of ground surface precision than 1 meter pixel imaging
system. To avoid any potential bias in sampling the study was conducted on multiple plots of
vegetated land situated in Beltsville Agricultural Research Centre. The chosen plots were
planted with Cereal rye (Secale cereale), for monitoring the produced differences in biomass
and leaf chlorophyll content of the chosen plots. The greenness of the chosen plots was
measure through Triangular Greenness Index (TGI) and co-related with the real chlorophyll
Chosen primary research: Hunt, E.R., Daughtry, C.S., Mirsky, S.B. and Hively, W.D.,
2014, Remote sensing with simulated unmanned aircraft imagery for precision agriculture
applications
From past 10 years the remote sensing technology is widely used to detect various
properties of the ground, especially those are highly influential in agricultural activities.
Satellite based thermal imaging system is a conventional method of biophysical and the
biochemical scanning for monitoring vegetation quality of the ground (Wójtowicz,
Wójtowicz and Piekarczyk 2016). Low altitude ground scanning is another ground breaking
intervention in this remote sensing system that. In 2014, Hunt, E.R., Daughtry, C.S., Mirsky,
S.B. and Hively, W.D., studied a new possible advancement of this technology though
introducing unmanned aircraft based high pixel scanning. The study certainly has a
significant value in remote sensing technical advancement which con enhance the ability of
scanning ground for agricultural assessment.
In the experimental study Hunt et al (2014), has used the unmanned aircraft system or
UAS as remote sensor carrier for precision agriculture by claiming that it has better ability to
acquire images with very small pixel size as well as better precision of ground surface. In
order to testify this claim the researchers conducted an experiment where a Fuji IS-Pro UVIR
digital camera was used to get images from 3-m height. Both RBG (Red Blue Green) true
colour imaging and UV-IR cut filter were used to show whether 1 millimetre pixel imaging
has significantly better capability of ground surface precision than 1 meter pixel imaging
system. To avoid any potential bias in sampling the study was conducted on multiple plots of
vegetated land situated in Beltsville Agricultural Research Centre. The chosen plots were
planted with Cereal rye (Secale cereale), for monitoring the produced differences in biomass
and leaf chlorophyll content of the chosen plots. The greenness of the chosen plots was
measure through Triangular Greenness Index (TGI) and co-related with the real chlorophyll
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