Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review
Herbaria contain the treasure of millions of specimens that have been preserved for several
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
years for scientific studies. To increase the rate of scientific discoveries, digitization of these …
[PDF][PDF] Automatic identification of ivorian plants from herbarium specimens using deep learning
Plant identification is most often based on visual observations by botanists and systematists.
Deep learning has become a tool that provides an alternative to automatic plant …
Deep learning has become a tool that provides an alternative to automatic plant …
Deep leaf: Mask R-CNN based leaf detection and segmentation from digitized herbarium specimen images
The generation of morphological traits of plants such as the leaf length, width, perimeter,
area, and petiole length are fundamental features of herbarium specimens, thus providing …
area, and petiole length are fundamental features of herbarium specimens, thus providing …
[HTML][HTML] An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning
Abstract Leaves are the most abundant and visible plant organ, both in the modern world
and the fossil record. Identifying foliage to the correct plant family based on leaf architecture …
and the fossil record. Identifying foliage to the correct plant family based on leaf architecture …
Automated extraction of phenotypic leaf traits of individual intact herbarium leaves from herbarium specimen images using deep learning based semantic …
With the increase in the digitization efforts of herbarium collections worldwide, dataset
repositories such as iDigBio and GBIF now have hundreds of thousands of herbarium sheet …
repositories such as iDigBio and GBIF now have hundreds of thousands of herbarium sheet …
Deep learning image segmentation reveals patterns of UV reflectance evolution in passerine birds
Y He, ZK Varley, LO Nouri, CJA Moody… - Nature …, 2022 - nature.com
Ultraviolet colouration is thought to be an important form of signalling in many bird species,
yet broad insights regarding the prevalence of ultraviolet plumage colouration and the …
yet broad insights regarding the prevalence of ultraviolet plumage colouration and the …
Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy
Leaf is one of the most commonly used organs for species identification. The traditional
identification process involves a manual analysis of individual dried or fresh leaf's features …
identification process involves a manual analysis of individual dried or fresh leaf's features …
Ensemble deep learning models for fine-grained plant species identification
Automated plant species identification for the datasets (images) collected from the natural
environment is a challenging task. This study investigates the development and application …
environment is a challenging task. This study investigates the development and application …
Automatic coarse-to-fine joint detection and segmentation of underwater non-structural live crabs for precise feeding
S Cao, D Zhao, Y Sun, X Liu, C Ruan - Computers and Electronics in …, 2021 - Elsevier
Effective biomass detection methods utilizing computer vision techniques should be capable
of handling large differences in object posture and various degrees of mutual …
of handling large differences in object posture and various degrees of mutual …
Application of computer vision and machine learning for digitized herbarium specimens: A systematic literature review
Herbarium contains treasures of millions of specimens which have been preserved for
several years for scientific studies. To speed up more scientific discoveries, a digitization of …
several years for scientific studies. To speed up more scientific discoveries, a digitization of …