Two machine learning approaches for predicting cyanobacteria abundance in aquaculture ponds

Cyanobacteria blooms in aquaculture ponds harm the harvesting of aquatic animals and threaten human health. Therefore, it is crucial to identify key drivers and develop methods to predict cyanobacteria blooms in aquaculture water management. In this study, we analyzed monitoring data from 331 aquacu...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Man Zhang, Yiguang Zhang, Songyan Yu, Yunni Gao, Jing Dong, Weixia Zhu, Xianfeng Wang, Xuejun Li, Juntao Li, Jiandong Xiong
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Elsevier 2023-06-01
Sarja:	Ecotoxicology and Environmental Safety
Aiheet:	Cyanobacteria Lasso regression Random forest Aquaculture ponds Water management
Linkit:	http://www.sciencedirect.com/science/article/pii/S0147651323004487
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