Reversing extinction trends: new uses of (old) herbarium specimens to accelerate conservation action on threatened species

G Albani Rocchetti, CG Armstrong, T Abeli… - New …, 2021 - Wiley Online Library
Although often not collected specifically for the purposes of conservation, herbarium
specimens offer sufficient information to reconstruct parameters that are needed to …

Applications of computer vision and machine learning techniques for digitized herbarium specimens: A systematic literature review

BR Hussein, OA Malik, WH Ong, JWF Slik - Ecological Informatics, 2022 - Elsevier
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 …

[HTML][HTML] Automated real-time identification of medicinal plants species in natural environment using deep learning models—a case study from Borneo Region

OA Malik, N Ismail, BR Hussein, U Yahya - Plants, 2022 - mdpi.com
The identification of plant species is fundamental for the effective study and management of
biodiversity. In a manual identification process, different characteristics of plants are …

[HTML][HTML] Image recognition of traditional Chinese medicine based on deep learning

J Miao, Y Huang, Z Wang, Z Wu, J Lv - Frontiers in Bioengineering …, 2023 - frontiersin.org
Chinese herbal medicine is an essential part of traditional Chinese medicine and herbalism,
and has important significance in the treatment combined with modern medicine. The correct …

Species delimitation of the liquorice tribe (Leguminosae: Glycyrrhizeae) based on phylogenomic and machine learning analyses

L Duan, LN Han, BB Liu, A Leostrin… - … of Systematics and …, 2023 - Wiley Online Library
The liquorice tribe Glycyrrhizeae is a leguminous herbaceous group of plants comprised of
the genera Glycyrrhiza and Glycyrrhizopsis. Some Glycyrrhiza taxa contain glycyrrhizin, a …

[HTML][HTML] Automated extraction of phenotypic leaf traits of individual intact herbarium leaves from herbarium specimen images using deep learning based semantic …

BR Hussein, OA Malik, WH Ong, JWF Slik - Sensors, 2021 - mdpi.com
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 …

[HTML][HTML] Bamboo Plant Classification Using Deep Transfer Learning with a Majority Multiclass Voting Algorithm

AD Sawarkar, DD Shrimankar, S Ali, A Agrahari… - Applied Sciences, 2024 - mdpi.com
Bamboos, also known as non-timber forest products (NTFPs) and belonging to the family
Poaceae and subfamily Bambusoideae, have a wide range of flowering cycles from 3 to 120 …

Reconstruction of damaged herbarium leaves using deep learning techniques for improving classification accuracy

BR Hussein, OA Malik, WH Ong, JWF Slik - Ecological Informatics, 2021 - Elsevier
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 …

Ensemble deep learning models for fine-grained plant species identification

OA Malik, M Faisal, BR Hussein - 2021 IEEE Asia-Pacific …, 2021 - ieeexplore.ieee.org
Automated plant species identification for the datasets (images) collected from the natural
environment is a challenging task. This study investigates the development and application …

[HTML][HTML] Identification of different species of Zanthoxyli Pericarpium based on convolution neural network

C Tan, C Wu, Y Huang, C Wu, H Chen - PLoS One, 2020 - journals.plos.org
Zanthoxyli Pericarpium (ZP) are the dried ripe peel of Zanthoxylum schinifolium Sieb. et
Zucc (ZC) or Zanthoxylum bungeanum Maxim (ZB). It has wide range of uses both medicine …