Study on the Prediction System of Shrimp Field Distribution in the East China Sea Based on Big Data Analysis of Fishing Trajectories

Author:

Guan Huanhuan,Zhao Xueli

Publisher

Springer Science and Business Media LLC

Subject

Ocean Engineering,Oceanography

Reference22 articles.

1. Chen, W. Z., 1994. Recent status of main economic fish resources in the East China Sea. Marine Fisheries, 4: 164–1967 (in Chinese with English abstract).

2. Chen, X. J., Liu, B. L., Tian, S. Q., Qian, W. G., and Li, G., 2009. Forecasting the fishing ground of ommastrephes bartramii with SST-based habitat suitability modelling in northwestern Pacific. Oceanologia et Limnologia Sinica, 40: 707–713 (In Chinese with English abstract).

3. de Souza, E. N., Boerder, K., Matwin, S., and Worm, B., 2016. Improving fishing pattern detection from satellite AIS using data mining and machine learning. PLoS One, 11(9): e0158248.

4. Gao, F., Chen, X. J., Guan, W. J., and Li, G., 2016. A new model to forecast fishing ground of Scomber japonicus in the Yellow Sea and East China Sea. Acta Oceanological Sinica, 35(4): 74–81.

5. Hu, L. Y., Pan, H. J., Bi, Z. B., and Liu, Y. F., 2016. Analysis and prediction of fishing situation in Zhoushan fishing ground and its adjacent waters. China Water Transport, 12: 47–48 (in Chinese with English abstract).

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