they are needed, saving both time and money and
minimizing their impact on the environment. Irrigation is
both difficult and expensive and gets even more difficult
when the topography of the terrain is graded. Farmers have
a tendency to over irrigate, spending both more time and
money than is necessary. Often times farmers look at
weather variables and then schedule irrigation based on that
information. But if they had better information, they could
use scientific models and equations to compute more
precisely, how much water their crop is using or how much
more is needed. And all this require to have an accurate
map of the field. Much of the ability to implement precision
agriculture is based on information technologies; in
particular, global positioning and navigation and geospatial
/ remote sensing mapping and analysis.
As mentioned before one of the key technology in precision
agriculture is geospatial / remote sensing mapping and
analysis. An optimum remote sensing system for precision
agriculture would provide data as often as twice per week
for irrigation scheduling and once every two weeks for
general crop damage detection. The spatial resolution of the
data should be as high as 2 to 5 square meters per pixel with
positional accuracy of within 2 meters. Additionally, the
data must be available to the farmer within 24 hours of
acquiring them. Turnaround time is more important to
farmers than data accuracy. They would gladly accept
remote sensing measurements that are as poor as 75 percent
accurate if they were assured of getting them within 24
hours of acquisition. Unfortunately, there are currently no
Earth orbiting satellites that can meet all of a precision
farmer’s requirements. This is where the Autonomous
Unmanned Aerial Vehicle (UAV) will play its role.
they are needed, saving both time and money andminimizing their impact on the environment. Irrigation isboth difficult and expensive and gets even more difficultwhen the topography of the terrain is graded. Farmers havea tendency to over irrigate, spending both more time andmoney than is necessary. Often times farmers look atweather variables and then schedule irrigation based on thatinformation. But if they had better information, they coulduse scientific models and equations to compute moreprecisely, how much water their crop is using or how muchmore is needed. And all this require to have an accuratemap of the field. Much of the ability to implement precisionagriculture is based on information technologies; inparticular, global positioning and navigation and geospatial/ remote sensing mapping and analysis.As mentioned before one of the key technology in precisionagriculture is geospatial / remote sensing mapping andanalysis. An optimum remote sensing system for precisionagriculture would provide data as often as twice per weekfor irrigation scheduling and once every two weeks forgeneral crop damage detection. The spatial resolution of thedata should be as high as 2 to 5 square meters per pixel withpositional accuracy of within 2 meters. Additionally, thedata must be available to the farmer within 24 hours ofacquiring them. Turnaround time is more important tofarmers than data accuracy. They would gladly acceptremote sensing measurements that are as poor as 75 percentaccurate if they were assured of getting them within 24hours of acquisition. Unfortunately, there are currently noEarth orbiting satellites that can meet all of a precisionfarmer’s requirements. This is where the AutonomousUnmanned Aerial Vehicle (UAV) will play its role.
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