Analysis of the species composition of phytoplankton communities (analy-sis of community structure), which is indispensable for analysis of photosynthesis and CO2 absorption, requires long-term image authentication work by skilled research-ers. If this work becomes possible through image processing with high accuracy and in large quantities, research on photosynthesis and CO2 absorption in aquatic ecosys-tems will markedly advance. In this study, high-quality teacher data are created us-ing isolated cultured cells by biological methods. Using these data, we developed an au-tomatic system to analyze the phytoplankton community structure by deep learning.
内容記述
Full-Length Paper
By a grant from Research Institute for Integrated Science, Kanagawa University
雑誌名
Science Journal of Kanagawa University
巻
32
ページ
17 - 20
発行年
2021-06-30
ISSN
1880-0483
書誌レコードID
AA12068302
著者版フラグ
publisher
出版者
神奈川大学総合理学研究所
Research Institute for Integrated Science, Kanagawa University