Abstract: Systems and methods for identifying features(s) of crops are provided. One example computer-implemented method includes accessing image data specific to a cotton plant. The image data includes images of the cotton plant and, for each image, depth data indicative of a range between surfaces of the cotton plant and a camera(s) that captured the image. The image data further includes tracking data for a device including the camera(s). The method also includes stitching together point clouds, which are defined by the images of the cotton plant, and identifying brighter white segments and darker white segments in the stitched point clouds. The brighter white segments and darker white segments define segment pairs. The method then also includes appending a line between the brighter white segment and the darker white segment of each of the pairs and determining a feature of the cotton plant based on the appended lines and/or pairs.

Abstract: Systems and methods for processing image data for crops are provided. One example computer-implemented method includes accessing image data specific to a corn plant, where the image data includes an image of the corn plant and depth data indicative of a range between the corn plant and a camera, which captures said image, and identifying, by a computing device, using a trained model, a feature of the corn plant, the feature including an ear of the corn plant and/or a node from which the ear emerges. The method also includes transforming, by the computing device, coordinates specific to the feature into a height of the feature of the corn plant and storing, by the computing device, the height of the feature of the corn plant in a memory.