Automatic detection of airborne pollen: an overview
Pollen monitoring has traditionally been carried out using manual methods first developed in
the early 1950s. Although this technique has been recently standardised, it suffers from …
the early 1950s. Although this technique has been recently standardised, it suffers from …
Honey authentication: A review of the issues and challenges associated with honey adulteration
D Bose, M Padmavati - Food Bioscience, 2024 - Elsevier
Honey, often referred to as' liquid gold,'a time-honoured natural food with a rich history, has
now ascended to the status of a superfood in today's global market, thanks to its myriad …
now ascended to the status of a superfood in today's global market, thanks to its myriad …
Gray-level invariant Haralick texture features
Haralick texture features are common texture descriptors in image analysis. To compute the
Haralick features, the image gray-levels are reduced, a process called quantization. The …
Haralick features, the image gray-levels are reduced, a process called quantization. The …
Automatic and online pollen monitoring
J Oteros, G Pusch, I Weichenmeier… - International archives of …, 2015 - karger.com
Background: Pollen are monitored in Europe by a network of about 400 pollen traps, all
operated manually. To date, automated pollen monitoring has only been feasible in areas …
operated manually. To date, automated pollen monitoring has only been feasible in areas …
Pollen analysis using multispectral imaging flow cytometry and deep learning
Pollen identification and quantification are crucial but challenging tasks in addressing a
variety of evolutionary and ecological questions (pollination, paleobotany), but also for other …
variety of evolutionary and ecological questions (pollination, paleobotany), but also for other …
Precise automatic classification of 46 different pollen types with convolutional neural networks
V Sevillano, K Holt, JL Aznarte - Plos one, 2020 - journals.plos.org
In palynology, the visual classification of pollen grains from different species is a hard task
which is usually tackled by human operators using microscopes. Many industries, including …
which is usually tackled by human operators using microscopes. Many industries, including …
Deductive automated pollen classification in environmental samples via exploratory deep learning and imaging flow cytometry
CM Barnes, AL Power, DG Barber, RK Tennant… - New …, 2023 - Wiley Online Library
Pollen and tracheophyte spores are ubiquitous environmental indicators at local and global
scales. Palynology is typically performed manually by microscopic analysis; a specialised …
scales. Palynology is typically performed manually by microscopic analysis; a specialised …
Automatic taxonomic identification based on the Fossil Image Dataset (> 415,000 images) and deep convolutional neural networks
The rapid and accurate taxonomic identification of fossils is of great significance in
paleontology, biostratigraphy, and other fields. However, taxonomic identification is often …
paleontology, biostratigraphy, and other fields. However, taxonomic identification is often …
Automatic identification of fossils and abiotic grains during carbonate microfacies analysis using deep convolutional neural networks
Petrographic analysis based on microfacies identification in thin sections is widely used in
sedimentary environment interpretation and paleoecological reconstruction. Fossil …
sedimentary environment interpretation and paleoecological reconstruction. Fossil …
Identification of pollen taxa by different microscopy techniques
M Pospiech, Z Javůrková, P Hrabec, P Štarha… - PLoS …, 2021 - journals.plos.org
Melissopalynology is an important analytical method to identify botanical origin of honey.
Pollen grain recognition is commonly performed by visual inspection by a trained person. An …
Pollen grain recognition is commonly performed by visual inspection by a trained person. An …