Method of crop image processing to determine real-world coordinates

Abstract

An image processing method is disclosed. The method comprises receiving an image of a crop, the image comprising an array of elements which includes depth information. The image is a multiple-channel image comprising at least a colour channel and a depth channel providing per-element depth information. The method comprises providing the image to a trained convolutional neural network to generate a response map comprising an image comprising intensity values having respective peaks corresponding to the stem of a plant in the crop. The method comprises obtaining, from the response map, coordinates corresponding to the respective peaks. The method comprises converting the coordinates in image coordinates into stem locations in real-world dimensions using the provided depth information.

Dependencies are inferred from the claim text.