Deep Regression for Counting fruits/grains in Robotic Phenotyping
Work involves using computer vision methods that estimate the number of fruits, grains or leaves in an image. Methods based on density estimation , regression and object detection are to be implemented . Performance of different approaches to counting objects have to be compared and the approach which outperforms counting across a wide range of object densities has to be determined