Modified Fish Growth Model Integrating Feed and Temperature
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Solution Overview
Problem
Current fish growth estimation models in aquaculture do not accurately account for multiple factors such as feed supply amount, rearing period, and water temperature, leading to inaccuracies in growth estimation.
Innovation Solution
A modified fish growth model that incorporates feed supply amount, rearing period, and water temperature, along with existing growth models like SGR, TGC, and FC, to provide a more comprehensive estimation of fish growth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional growth models (SGR, TGC, FC) are used, then the model simplicity is maintained, but the growth estimation accuracy deteriorates due to not accounting for multiple factors
Solution Approach 1:
The patent combines multiple traditional growth models (SGR, TGC, FC) into a single integrated comprehensive growth model. This model merges the strengths of each individual model while incorporating additional factors such as feed supply amount, rearing period, and water temperature, thereby improving growth estimation accuracy without requiring multiple separate models
Solution Approach 2:
The comprehensive growth model serves multiple functions by simultaneously considering biological factors (initial weight, final weight), environmental factors (water temperature), and management factors (feed supply amount, rearing period). This multi-functional approach allows a single model to account for diverse influences on fish growth that traditional single-factor models cannot capture
2Reliability
If comprehensive factors (feed supply, rearing period, water temperature) are incorporated, then the growth estimation reliability is improved, but the calculation complexity increases
Solution Approach 1:
The patent transforms the comprehensive growth estimation into a standardized calculation framework by defining specific parameters (initial average weight, final average weight, feed supply amount, rearing period, water temperature) and their relationships. This parameterization approach maintains reliability while making the complex model more manageable and computationally efficient
3Adaptability or versatility
If multiple growth models are integrated, then the comprehensiveness of growth monitoring is improved, but the ease of operation deteriorates
Solution Approach 1:
The comprehensive growth model is segmented into distinct input components (biological parameters, environmental parameters, management parameters) that can be independently measured and entered. This segmentation maintains comprehensiveness by covering all growth-influencing factors while improving ease of operation by organizing data collection into manageable categories
Data Source
AI summary
A device and method for estimating fish growth based on a modified fish growth model. The device includes a growth factor data input unit configured to receive growth factor data including an initial average weight Wi, a final average weight Wf, a total supplied feed amount F, and a rearing period D about a growth estimation target fish; a first growth information calculation unit configured to apply the growth factor data received from the growth factor data input unit to the modified fish growth model to calculate first growth information of the growth estimation target fish based on the modified fish growth model; and a display for outputting the first growth information calculated by the first growth information calculation unit on a screen thereof.