Prepartum Cow Metabolic Disease Evaluation Without Blood Sampling
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Solution Overview
Problem
Current methods for diagnosing the risk of metabolic diseases in cows after parturition are invasive and lack techniques for early prediction, making it difficult to implement prophylactic measures effectively.
Innovation Solution
An evaluating method that uses non-invasive cattle management data, such as foraging time and milk yield, to predict the risk of metabolic diseases before parturition, employing formulas and graphical analyses to assess the likelihood of conditions like ketosis, metritis, and other diseases.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If blood sampling methods are used to diagnose metabolic diseases, then measurement precision is improved, but ease of operation deteriorates and loss of time increases
Solution Approach 1:
The patent replaces the mechanical blood sampling process with an information processing system that analyzes cattle management information (feeding records, milking data, behavior data) to predict metabolic disease risk. This substitution eliminates the need for physical blood collection while maintaining diagnostic capability through computational analysis of alternative data sources.
Solution Approach 2:
The patent introduces cattle management information as an intermediary between the cow and the diagnosis system. Instead of directly sampling blood, the system collects and analyzes indirect information about the cow's feeding habits, milking patterns, and behavior to infer metabolic status, thereby avoiding the invasive sampling process.
2Reliability
If blood sampling is performed for disease diagnosis, then reliability of diagnosis is improved, but loss of time increases due to the invasive nature of the procedure
Solution Approach 1:
The patent performs preliminary analysis of cattle management information continuously before clinical symptoms appear. By monitoring feeding records, milking data, and behavior patterns over time, the system predicts metabolic disease risk in advance, allowing for early intervention before the disease fully develops and before blood sampling would be necessary.
3Measurement precision
If invasive sampling methods are used before parturition, then measurement precision is improved, but ease of operation deteriorates
Solution Approach 1:
The patent replaces prepartum blood sampling with analysis of cattle management information including feeding records, milking data, and behavior observations. This information processing approach provides accurate prepartum metabolic disease prediction without requiring invasive procedures on pregnant cows.
4Ease of operation
If simple measurement kits for BHBA are used, then ease of operation is improved, but measurement precision deteriorates compared to definitive diagnosis methods
Solution Approach 1:
The patent uses cattle management information as an intermediary to predict BHBA concentration and metabolic disease risk. Instead of directly measuring BHBA with simple kits (which lack precision) or performing complex definitive diagnosis (which lacks simplicity), the system analyzes indirect indicators from feeding, milking, and behavior data to predict metabolic status with both accuracy and operational ease.
Data Source
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AI summary
Provided are an evaluating method and the like by which a state of a metabolic disease after present parturition can be evaluated before present parturition without using blood data. In the present embodiment, a first evaluation of evaluating a state of a metabolic disease in a cow after present parturition is performed using a first value in the cow before present parturition, a value of a formula calculated using the first value and the formula including an explanatory variable to be substituted with the first value, or a graph generated based on the first value, the first value being a value on cattle management information obtainable by a non-invasive method.