Aquaculture Sensor Data Processing for Adaptive Feed Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Humans in aquaculture have limited time and attention for observing aquatic livestock, leading to inefficiencies in feeding management and resource waste due to unconsumed feed.
Innovation Solution
A system that collects sensor data at different depths and times, processes it to generate structured data sets, and uses a machine-learning model to automatically adjust feeding rates based on the observed feeding behavior of aquatic livestock.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If human observers manually monitor aquatic livestock, then feeding decisions can be made based on observations, but the observers have limited time and attention leading to inefficiencies
Solution Approach 1:
The patent replaces human mechanical observation with an automated sensor system comprising cameras, processors, and machine learning models. The sensor subsystem captures images of aquatic livestock, and the processing system automatically analyzes feeding behavior by detecting mouth movements and feed consumption patterns, eliminating the time constraints of human observers while maintaining or improving observation accuracy.
Solution Approach 2:
The system enables self-monitoring of feeding behavior through automated sensor data collection and analysis. The processor automatically detects feeding patterns, determines consumption rates, and generates feeding recommendations without requiring continuous human intervention, allowing the aquaculture system to self-regulate feed provision based on real-time livestock behavior.
2Reliability
If feed is continuously provided to aquatic livestock, then feeding needs can be met, but unconsumed feed is wasted leading to resource inefficiency
Solution Approach 1:
The system implements a closed-loop feedback mechanism where sensor data on actual feed consumption is continuously collected, analyzed, and used to adjust future feed provision. The processing system calculates consumption rates based on observed feeding behavior and provides feedback recommendations to optimize subsequent feed dosing, ensuring feed is provided based on actual demand rather than fixed schedules.
Solution Approach 2:
The system transitions from static, fixed-schedule feeding to dynamic, adaptive feeding based on real-time livestock behavior. The sensor subsystem continuously monitors feeding activity, and the processing system dynamically adjusts feed recommendations according to changing consumption patterns, allowing the system to respond to variations in appetite, growth stage, and environmental conditions.
3Productivity
If automated sensor systems are deployed to monitor aquatic livestock, then feeding management efficiency increases, but the system complexity increases
Solution Approach 1:
The system is divided into distinct functional modules: a sensor subsystem for image capture, a processing system for data analysis, and a feedback mechanism for recommendation generation. This segmentation allows each component to be optimized independently and facilitates easier maintenance and scaling while maintaining overall system efficiency.
Data Source
AI summary
Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for sensor data processing. The method may include the actions of obtaining sensor data regarding aquatic livestock over periods of time, where the sensor data is captured by at least one sensor at different depths, determining, for each of the periods of time, whether the sensor data captured at different depths during the period of time satisfy one or more evaluation criteria, generating an input data set that concatenates representations of the periods of time, providing the input data set to a machine-learning trained model, receiving, as an output from the machine-learning trained model, an indication of an action to be performed for the aquatic livestock, and initiating performance of the action for the aquatic livestock.