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In commercial forestry and large-scale plant propagation, the utilization of artificial intelligence techniques for automated somatic embryo analysis has emerged as a highly valuable tool. Notably, image segmentation plays a key role in the automated assessment of mature somatic embryos. However, to date, the application of Convolutional Neural Net...
Samara morphology, including weight, size, and wing-to-seed ratios, is an important precursor to seed dispersal, and therefore a primary driver in large-scale alien conifer invasions. Prior studies have not reported morphological differences between samaras of different cones within a tree possibly because cone position at differing crown heights h...
Introduction Deep learning is increasingly becoming an effective technique for automated quantification of unstructured data such as 3D point cloud data (PCD) and skeletons. Past work has tried to leverage point clouds for extracting and analysing individual trees from point cloud for forestry stock assessment (Hartley et al., 2022). However, deep...
The classification and quantification of fuel is traditionally a labour-intensive, costly and often subjective operation, especially in hazardous vegetation types, such as gorse (Ulex europaeus L.) scrub. In this study, unmanned aerial vehicle (UAV) technologies were assessed as an alternative to traditional field methodologies for fuel characteris...
Phenotyping has been a reality for aiding the selection of optimal crops for specific environments for decades in various horticultural industries. However, until recently, phenotyping was less accessible to tree breeders due to the size of the crop, the length of the rotation and the difficulty in acquiring detailed measurements. With the advent o...