The approach is implemented using a convolutional neural network. We trained a convolutional neural network to learn discriminating features such corners, blobs, and edges. The set of the learned features are used to classify the pollen grain images.
Dec 10, 2016
Pollen Grain Recognition Through Deep Learning Convolutional ...
pubs.aip.org › doi › 140001_1_online
In this paper, we propose a new method to automatically classify pollen grains using a state-of-the-art deep learning technique applied to the recently.
This work's pollen-recognition method learns both features and classifier from training data under the deep-learning framework and uses transfer learning to ...
Feb 24, 2023 · We developed an explainable framework to unveil a deep learning model for pollen classification. Model works on data coming from single particle detector ( ...
Feb 17, 2021 · We present an automated method for pollen analysis, based on deep learning convolutional neural networks (CNN). We scanned microscope slides ...
Oct 1, 2023 · In this study, we propose a deep learning (DL) approach to classify pollen grains in the Great Basin Desert, Nevada, USA.
We propose to use a convolution neural network for classification and prepro- cessing of pollen species since this model has shown promising results in image.
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In this paper, we propose a new method to automatically classify pollen grains using a state-of-the-art deep learning technique applied to the recently ...
May 31, 2021 · Deep learning models have shown similar accuracy rates to ours on larger and more varied pollen datasets as well, but these either focussed on ...
(2016, December). Pollen Grain Recognition. Using Deep Learning. In International Symposium on Visual Computing (pp. 321-. 330). Springer, Cham.