A method for predicting the fish yield
A forecasting method and fish technology, applied in forecasting, fish farming, image data processing, etc., can solve the problem of uncultivated fish growth, living conditions and scientific evaluation of output from ponds, monitoring distances, and fish output from ponds. There are no effective and feasible specific methods for the assessment of
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[0072] Put a batch of koi fry in five ponds, the number and size of koi fry in each pond are the same, and they are all healthy. After three months of breeding time, calculation and statistics are performed according to steps S110-S160 to obtain the following table, which is the forecast result of koi production in each pond in the first 3 months before pulling the net out of the pond.
[0073]
[0074]
[0075] It can be seen from the table data that the average prediction accuracy of this algorithm can reach more than 79% in the prediction of the number of reared koi fish out of the pond, and the prediction accuracy of the average weight specification of the pond can reach more than 84%, which can basically accurately reflect The production of fish and also meet the application needs of the farm.
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