Automatic Sugercane Bud Filler Using Raspberry Pi

Sugarcane bud filling is a labor-intensive and time-consuming process in sugarcane cultivation. This paper presents an automated sugarcane bud filling system using Raspberry Pi. The system utilizes a camera module to capture images of sugarcane buds, which are then processed using Open CV to detect and count the buds. A motorized filling system, controlled by the Raspberry Pi, fills the detected buds with a growth promoter. The system achieves an accuracy of 95% in bud detection and filling, reducing labor costs and increasing efficiency. The proposed system can be integrated with existing sugarcane cultivation practices, providing a cost-effective and efficient solution for sugarcane farmers.