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 presents the …

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 an …

This paper presents a set of segmentation methods for various types of 3D point clouds.
Segmentation of dense 3D data (eg Riegl scans) is optimised via a simple yet efficient …

This paper demonstrates a generalised multi-scale feature learning approach to multi-class
segmentation, applied to the estimation of fruit yield on treecrops. The learning approach …

This paper presents a novel multi-sensor framework to efficiently identify, track, localise and
map every piece of fruit in a commercial mango orchard. A multiple viewpoint approach is …

This paper describes a new methodology for calculating the translational and rotational
offsets of a range sensor to a reference coordinate frame on the platform to which it is affixed. …

BACKGROUND Both psychological and physiological disturbances have been implicated
in the aetiopathogenesis of irritable bowel syndrome (IBS). AIMS To investigate how the …

The autopsy is now often regarded as of marginal use in modern clinical practice. In this
Review we contend that the autopsy remains an important procedure with substantial, if largely …

Ecological theories and hypotheses are usually complex because of natural variability in space
and time, which often makes the design of experiments difficult. This book describes how …

Understanding the pattern of connectivity among populations is crucial for the development
of realistic and spatially explicit population models in marine systems. Here we analysed …