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Improving the value of lobster selling with grading method using machine vision technology
Author(s) -
Muhamad Deni Johansyah,
B. A. Foster,
Vani Maharani,
Graha Prakarsa,
Susan Purnama
Publication year - 2022
Publication title -
linguistics and culture review
Language(s) - English
Resource type - Journals
ISSN - 2690-103X
DOI - 10.21744/lingcure.v6ns1.2122
Subject(s) - fishery , sort , fishing , grading (engineering) , business , sorting , computer science , engineering , civil engineering , information retrieval , biology , programming language
Lobster is a product of the fishery sector which has a very high selling value, fishermen in coastal areas, especially in the Pangandaran area, sell the catch on traditional markets and are exported overseas. The expensive lobster selling value is inversely proportional to the income received by fishermen, the problems faced are influenced by several factors, namely whether, fishing regulations, and technology used, lobster sales will increase if the sales process if fishermen can sort and sort lobster sized large, which has a very high export value, the problems faced by fishermen currently sell directly to the fish market or buyers without going through the grading process. The grading system can be done manually but this causes the lobster to become not fresh because of the fairly long sorting process. The sorting and grading system method is a must so that a sold lobster possesses export value and quality, some large fishermen use a very large and fairly expensive sorting tool and are only owned by fishermen with large capital as well as catching patterns and large-scale lobster production. In small fishermen limited to the number of catches and transport capacity.

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