Fruit Mapping

Fruit mapping uses computer vision and robotics to create 3D models of fruit distribution on plants, aiming to improve yield estimation and automate agricultural tasks like harvesting. Current research focuses on integrating data from multiple sensors (RGB, LiDAR, IMU) and employing advanced algorithms like object detection and shape completion to overcome challenges posed by occlusions and varying fruit sizes and locations. This technology holds significant promise for precision agriculture, enabling more efficient resource management, improved yield prediction, and the development of autonomous robotic systems for crop monitoring and harvesting.