Open AccessA 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