Deep Learning-Based Automatic Duckweed Counting Using StarDist and Its Application on Measuring Growth Inhibition Potential of Rare Earth Elements as Contaminants of Emerging Concerns

Deep Learning-Based Automatic Duckweed Counting Using StarDist and Its Application on Measuring Growth Inhibition Potential of Rare Earth Elements as Contaminants of Emerging Concerns

In recent years, there have been efforts to utilize surface water as a power source, material, and food. However, these efforts are impeded due to the vast amounts of contaminants and emerging contaminants introduced by anthropogenic activities. Herbicides such as Glyphosate and Glufosinate are comm...

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Bibliographic Details
Main Authors: Kevin Adi Kurnia, Ying-Ting Lin, Ali Farhan, Nemi Malhotra, Cao Thang Luong, Chih-Hsin Hung, Marri Jmelou M. Roldan, Che-Chia Tsao, Tai-Sheng Cheng, Chung-Der Hsiao
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Toxics
Subjects:
duckweed
StarDist
deep learning
cell counting
image segmentation
rare earth element
Online Access:https://www.mdpi.com/2305-6304/11/8/680

Internet

https://www.mdpi.com/2305-6304/11/8/680

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