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 …
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 …
harmful effects reactions and cheaper than modern medicine. Based on these facts, many …
Digitization and the future of natural history collections
Natural history collections (NHCs) are the foundation of historical baselines for assessing
anthropogenic impacts on biodiversity. Along these lines, the online mobilization of …
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 …
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
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 …
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
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 …
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 …
appealing sensory profiles, is extensively cultivated in tropical regions worldwide. However …
The herbarium challenge 2019 dataset
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 …
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 …
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
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 …