Reversing extinction trends: new uses of (old) herbarium specimens to accelerate conservation action on threatened species
Although often not collected specifically for the purposes of conservation, herbarium
specimens offer sufficient information to reconstruct parameters that are needed to …
specimens offer sufficient information to reconstruct parameters that are needed to …
[HTML][HTML] 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 …
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 …
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 …
A method for the detection and reconstruction of foliar damage caused by predatory insects
GDS Vieira, NM de Sousa, B Rocha… - 2021 IEEE 45th …, 2021 - ieeexplore.ieee.org
Management of agricultural production and rural activities has been supported by
recognizing machine learning patterns and algorithms, as in the automation of leaf analysis …
recognizing machine learning patterns and algorithms, as in the automation of leaf analysis …
Ensemble synthetic oversampling with Manhattan distance for unbalanced hyperspectral data
Hyperspectral imaging is a spectroscopic imaging technique that can cover a broad range of
electromagnetic wavelengths and subdivide those into spectral bands. As a consequence, it …
electromagnetic wavelengths and subdivide those into spectral bands. As a consequence, it …