83 citations · 141 across the 7 of their papers we have counts for
9 papers
A procedure for automated tree pruning suggestion using LiDAR scans of fruit trees
Fredrik Westling, James Underwood, Mitch Bryson
In fruit tree growth, pruning is an important management practice for preventing overcrowding, improving canopy access to light and promoting regrowth. Due to the slow nature of ag…
SimTreeLS: Simulating aerial and terrestrial laser scans of trees
Fredrik Westling, Mitch Bryson, James Underwood
There are numerous emerging applications for digitizing trees using terrestrial and aerial laser scanning, particularly in the fields of agriculture and forestry. Interpretation of…
Graph-based methods for analyzing orchard tree structure using noisy point cloud data
Fredrik Westling, Dr James Underwood, Dr Mitch Bryson
Digitisation of fruit trees using LiDAR enables analysis which can be used to better growing practices to improve yield. Sophisticated analysis requires geometric and semantic unde…
Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association
Xu Liu, Steven W. Chen, Chenhao Liu +5
We present a cheap, lightweight, and fast fruit counting pipeline that uses a single monocular camera. Our pipeline that relies only on a monocular camera, achieves counting perfor…
Light interception modelling using unstructured LiDAR data in avocado orchards
Fredrik Westling, James Underwood, Samuel Örn
In commercial fruit farming, managing the light distribution through canopies is important because the amount and distribution of solar energy that is harvested by each tree impact…
Extrinsic Parameter Calibration for Line Scanning Cameras on Ground Vehicles with Navigation Systems Using a Calibration Pattern
Alexander Wendel, James Underwood
Line scanning cameras, which capture only a single line of pixels, have been increasingly used in ground based mobile or robotic platforms. In applications where it is advantageous…
Multi-Modal Obstacle Detection in Unstructured Environments with Conditional Random Fields
Mikkel Kragh, James Underwood
Reliable obstacle detection and classification in rough and unstructured terrain such as agricultural fields or orchards remains a challenging problem. These environments involve l…
Image Segmentation for Fruit Detection and Yield Estimation in Apple Orchards
Suchet Bargoti, James Underwood
Ground vehicles equipped with monocular vision systems are a valuable source of high resolution image data for precision agriculture applications in orchards. This paper presents a…
Deep Fruit Detection in Orchards
Suchet Bargoti, James Underwood
An accurate and reliable image based fruit detection system is critical for supporting higher level agriculture tasks such as yield mapping and robotic harvesting. This paper prese…