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 - Kurnia, Kevin Adi; Lin, Ying-Ting; Farhan, Ali; Malhotra, Nemi; Luong, Cao Thang; Hung, Chih-Hsin; Roldan, Marri Jmelou M.; Tsao, Che-Chia; Cheng, Tai-Sheng; Hsiao, Chung-Der (Toxics (Basel), 2023)
Keywords: Agricultural industry; Angiosperms; Anthropogenic factors; Aquatic environment; Aquatic plants; cell counting; Contaminants; Contamination; Data management; Deep learning; Duckweed; Dysprosium; Environmental aspects; Environmental indicators; Floating plants; Food sources; Fronds; Glufosinate; Glyphosate; Growth; Herbicides; image segmentation; Lemnaceae; Machine learning; Mathematical analysis; Methods; Physiological aspects; Pollutants; Power sources; rare earth element; Rare earth elements; Rare earth metals; Samarium; Software; StarDist; Surface water; Testing; Toxicity; Toxicity testing; Trace elements; Water pollution; Workflow; Taiwan; Japan