OpenCV based detection and recognition system of pre-seed cutting sugarcane planter

In this paper, the identification system of sugarcane was studied based on the pre-seed cutting sugarcane planter developed in the laboratory to solve the problems of uneven cane discharging and high seed leakage rate. Firstly, simple structure analysis and system design of sugarcane planter are carried out. Secondly, histogram equalization algorithm is applied to enhance the image based on the real-time feedback of the camera. Thirdly, the template matching method is used to extract sugarcane images. Finally, the obtained sugarcane images were morphologic processed to obtain the surface texture information of sugarcane, and the information of sugarcane body and sowing situation were recorded through system recognition feedback.