Our current drone system is designed to spray pesticides in fields while navigating using a rangefinder to maintain a consistent height of 3 meters above the crop. Typically, this setup works well, as most crop canopies are uniform, and distinguishing between reflections from the canopy and the ground isn’t crucial.
However, when dealing with certain crops like sugarcane, which can have variable canopy heights ranging from 4 to 8 meters, this presents a challenge. In such cases, reflections in the rangefinder can originate from either the ground or the canopy, depending on the density of the crop.
To address this issue, I’m exploring various sensor options that can accurately differentiate between the canopy and the ground. Here are my thoughts on some available sensors:
Lidar: While Lidar could provide a reliable estimate of the sugarcane canopy’s top, its performance might be affected by environmental factors such as spray (creating foggy conditions). Additionally, implementing an IP-protected rotating Lidar could be a pain.
Radar: Radar sensors offer the potential for complex signal processing to distinguish reflections from the canopy and the ground. My current hypothesis suggests that the reflection could originate from the middle of the crop, necessitating sophisticated algorithms to interpret radar signals accurately.
Stereocameras: would be blurred by spray
Looking forward to the thoughts from the AP community for this