Abstract:
While weeds in sugar beet farming reduce crop yield and quality, they also lead to
higher labor and material losses. In recent years, in order to eliminate or reduce the
damage caused by weeds in sugar beet farming, weed control has gained importance. To
this end, various studies have been conducted on robotic weed control by detecting weeds
using image processing algorithms and hoeing or spraying the weeds. In this study,
weeds
in sugar beet fields were detected by the image processing algorithm and were sprayed
with a liquid. When height of spraying nozzle above the ground was 30 cm and 50 cm,
measurements of spraying robot were carried out for 8 different speeds. The wee
d surface
co
vering area of spraying liquid was evaluated by two different methods.
A decrease of
40% in nozzle height of smart spraying robot caused a decrease of about 12.18% at 4
different weeds surface covering area (cm
2
) of spraying liquid and a decrea
se of 16.70%
at weed surface covering area (pixels) of spraying liquid.
Keywords:
Image processing, Herbicide application, Precision agriculture, Precision
spraying.