A lightweight method for maize seed defects identification based on Convolutional Block Attention Module

Overview of attention for article published in Frontiers in Plant Science, September 2023

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Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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So far, Altmetric has seen 2 X posts from 2 X users, with an upper bound of 21,908 followers.

RT @FrontPlantSci: New Research: A lightweight method for maize seed defects identification based on Convolutional Block Attention Module:…

06 Sep 2023

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New Research: A lightweight method for maize seed defects identification based on Convolutional Block Attention Module: Maize is widely cultivated and planted all over the world, which is one of the main food resources. Accurately… #PlantScience #PlantSci

05 Sep 2023

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