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2023-305
2023-305
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2ac68df9
Commit
2ac68df9
authored
Aug 08, 2024
by
Jayasekara T.K.K.
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@@ -43,9 +43,9 @@ effectively predict the growth and biomass of sea cucumber juveniles in Sri Lank
Individual Research Objective -
I
dentify the size and wet weight of sea cucumber juveniles using image processing and then by its initial wet weight and
the categorization we identify earlier, predicting it’s survival rate, specific growth rate per day, weight gain as a percentage and
total biomass of it
with the help of the mobile application.
I
mage processing is used to accurately detect the features of the juvenile and then categorize them into small (1.5 g), medium (3.5g), and big (7.5 g)
sizes and then it provides results regarding survival rate, specific growth rate per day and total biomass, which can be used to inform sustainable
aquaculture practices
with the help of the mobile application.
**IT20256500 - R.K.M Thushamini**
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