A novel machine learning approach to predict the export price of seafood products based on competitive information: The case of the export of Vietnamese shrimp to the US market | Zendy

Nguyen Minh Khiem | Zendy; Yuki Takahashi | Zendy; Hiroki Yasuma | Zendy; Khưu Thị Phương Đông | Zendy; Trần Ngọc Hải | Zendy; Nobuo KIMURA | Zendy

Open Access

A novel machine learning approach to predict the export price of seafood products based on competitive information: The case of the export of Vietnamese shrimp to the US market

Author(s) -

Nguyen Minh Khiem,

Yuki Takahashi,

Hiroki Yasuma,

Khưu Thị Phương Đông,

Trần Ngọc Hải,

Nobuo KIMURA

Publication year - 2022

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0275290

Subject(s) - shrimp , vietnamese , product (mathematics) , china , business , quality (philosophy) , competition (biology) , agriculture , competitive advantage , penaeidae , shrimp farming , international trade , economics , agricultural economics , fishery , marketing , geography , aquaculture , biology , fish <actinopterygii> , ecology , linguistics , philosophy , geometry , mathematics , archaeology , epistemology , decapoda , crustacean

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