Point cloud dataset of mature pecan trees (Carya illinoinensis) obtained with a low-cost mobile terrestrial LiDAR

This article describes a comprehensive point cloud dataset representing the 3D structures of 33 mature pecan trees (Carya illinoinensis, cv. 'Western'), which was acquired in situ within commercial orchards in Chihuahua, Mexico. The data were obtained using a low-cost mobile terrestrial laser scanner, consisting of an iPad Pro (11-inch, M1 processor). A pedestrian-based kinematic scanning protocol was applied, based on the EveryPoint application, which leverages the device's integrated LiDAR sensor and its 12-megapixel Wide camera. The dataset contains point clouds at several stages of processing, ranging from raw acquisitions containing inherent sensor noise and positional artifacts (the "noise dome") to definitively filtered, ready-to-use spatial geometries. Data processing was carried out using programmatic preprocessing, which involved geometric filtering based on local volume density and Gaussian curvature thresholds, in order to systematically remove outliers near the woody branching architecture. The dataset is available in standard .ply and .las formats, and is accompanied by in situ photographic reference images. It may be used to develop and benchmark denoising methods for low-cost LiDAR data, or to support non-destructive phenotyping and pruning-related decision support applications in pecan orchards.