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 …

Machine learning in medicinal plants recognition: a review

K Pushpanathan, M Hanafi, S Mashohor… - Artificial Intelligence …, 2021 - Springer
Medicinal plants are gaining attention in the pharmaceutical industry due to having less
harmful effects reactions and cheaper than modern medicine. Based on these facts, many …

Digitization and the future of natural history collections

BP Hedrick, JM Heberling, EK Meineke, KG Turner… - …, 2020 - academic.oup.com
Natural history collections (NHCs) are the foundation of historical baselines for assessing
anthropogenic impacts on biodiversity. Along these lines, the online mobilization of …

Plant leaves classification: A few-shot learning method based on siamese network

B Wang, D Wang - Ieee Access, 2019 - ieeexplore.ieee.org
In recent years, the method of plant leaf classification by deep learning has gradually
become mature. However, training a leaf classifier based on deep learning requires a large …

Deep learning techniques for grape plant species identification in natural images

CS Pereira, R Morais, MJCS Reis - Sensors, 2019 - mdpi.com
Frequently, the vineyards in the Douro Region present multiple grape varieties per parcel
and even per row. An automatic algorithm for grape variety identification as an integrated …

[PDF][PDF] Automatic identification of ivorian plants from herbarium specimens using deep learning

B Abou Bakary, M Diarra, AK Jean… - … Journal of Emerging …, 2022 - researchgate.net
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 …

An artificial neural network for predicting groundnut yield using climatic data

H Sajindra, T Abekoon, EM Wimalasiri, D Mehta… - AgriEngineering, 2023 - mdpi.com
Groundnut, being a widely consumed oily seed with significant health benefits and
appealing sensory profiles, is extensively cultivated in tropical regions worldwide. However …

The herbarium challenge 2019 dataset

KC Tan, Y Liu, B Ambrose, M Tulig… - arXiv preprint arXiv …, 2019 - arxiv.org
Herbarium sheets are invaluable for botanical research, and considerable time and effort is
spent by experts to label and identify specimens on them. In view of recent advances in …

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 …

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 …