Detection of Paddy Leaves Healthiness Area Using UAV and Rasberry Pi 4

Abstract This research is aimed to detect the area in paddy field that have damage leaves. It hard check disease and pest infestation by human vision. Position of viewer into damaged leaves does ensure see intact field. In this UAV was utilized take picture healthy from above. Aerial position will benefit completely seen. To healthiness leave area, attached Rasberry Pi 4, installed image processing program using python as language program. The connected VNC laptop. HSV(Hue, Saturation, Value) distinguish colour heathiness flied software mission planner. could be seen on map planner software, user can select designated which would detected its healthiness. waypoint flying plan determined. hit “C” (Capture) laptop keyboard when remain stop every long 10 second. And show percentage condition real time at moment. altitude 8 meter land. average 3 way points were 9.53 m 2 , 10.40m 11.86m . Meanwhile second flight acquired 4.58 3.99 3.54 for leaves, experiment released 0 0.22m 0m filght 0.108m 0.18m 0.359m reseach use t-paired- test, significant difference both flight. conclusion, obtained inconsistent data taking information area.