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We propose an image quality assessment method for small pollen grains in pollen images, which consists of three main modules. First, in the global IQA model, ...
Nov 4, 2023 · Image Quality Guided Pollen Classification Based on Multi-Grain Image Information Content ... To read the full-text of this research, you can ...
Our proposed an image quality assessment method for pollen images with multi-grain image information content. ... Local information is crucial to the task of ...
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What is a pollen grain classification?
What are the identifying features of pollen grain?
Visual classification of pollen grains is crucial for various agricultural applications, particularly for the protection, monitoring, and tracking of flora ...
Jun 28, 2024 · To categorize five classes of pollen grains using 13,000 images, AlexNet and SmallerVGGNet were implemented in [11]. Precision rates of 89.63% ...
Indeed, automatic pollen grain classification is an important task for all related applications and areas. This work presents the first large-scale pollen grain ...
Duller's dataset consists of seven categories of pollen images, with a total of 630 grayscale images with a size of 25 × 25. The resolution of the raw pollen ...
In this paper, we present the design of our prototype of an automated real-time and affordable pollen sensing system. The design consists of three main ...
This paper develops a classification strategy that is based on fusion of four state-of-the-art fine-tuned convolutional neural networks, ...