Affiliation:
1. Center of Microfluidic Optoelectronic Sensing, Dalian Maritime University, Dalian, 116026, China
2. College of Information Science and Technology, Dalian Maritime University, Dalian, 116026 China
3. College of Environmental Sciences and Engineering, Dalian Maritime University, Linghai Road 1, Dalian 116026, China
Abstract
A method to identify microalgae based on an Improved YOLOv3 model was proposed. It can provide reliable and real-time identification.
Funder
Liaoning Revitalization Talents Program
National Natural Science Foundation of China
National Key Research and Development Program of China
Liaoning Province Natural Science Foundation
Dalian Support Plan for Innovation of High-level Talents
Dalian Science and Technology Innovation Fund
Fundamental Research Funds for the Central Universities
Key Laboratory of Industrial Ecology and Environmental Engineering of the Ministry of Education
Publisher
Royal Society of Chemistry (RSC)
Subject
Management, Monitoring, Policy and Law,Public Health, Environmental and Occupational Health,Environmental Chemistry,General Medicine
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