Livestock Spectral Scanning for Early Market-Potential Classification
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Livestock management faces challenges in optimizing yield due to variations in growth or yield inputs, leading to wide variance in market yields despite similar feed, medical treatment, and preventive care, necessitating a more precise and efficient method to classify and manage individual animals.
Innovation Solution
Utilizing non-invasive spectral scanning of livestock and their excreta, combined with chemometric data analysis, to classify animals as 'good' or 'bad' for market potential, and provide real-time feedback on feed, water, health, and environmental conditions, enabling informed decisions by untrained handlers without the need for veterinary analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional veterinary analysis is performed on each animal, then measurement precision is improved, but device complexity and cost increase
Solution Approach 1:
The patent replaces complex mechanical veterinary analysis systems with a portable spectral measurement system. The spectrometer uses optical/electromagnetic fields to non-invasively measure animal parameters, eliminating the need for complex mechanical examination equipment and trained veterinary technicians for each individual animal.
Solution Approach 2:
The patent creates a portable, simplified copy of veterinary analysis capability through spectral scanning. Instead of requiring full veterinary examinations, the system captures spectral signatures that serve as representative data models, allowing classification without physical contact or complex diagnostic procedures.
2Productivity
If individual animal monitoring is implemented, then productivity is improved, but loss of time increases
Solution Approach 1:
The patent enables continuous monitoring of animal growth and health through repeated spectral measurements. The portable spectrometer can be used repeatedly on the same animal without causing stress or damage, allowing ongoing tracking of growth parameters and early detection of health issues throughout the animal's lifecycle.
Solution Approach 2:
The system performs preliminary spectral measurements early in an animal's growth phase to predict future yield characteristics. By classifying animals as 'good' or 'bad' prospects early on, management decisions can be made beforehand to optimize resource allocation and identify animals needing special attention before market time.
3Measurement precision
If skilled veterinary analysis is performed on each animal, then measurement precision is improved, but loss of time increases
Solution Approach 1:
The patent replaces time-consuming skilled veterinary examinations with automated spectral analysis. The portable spectrometer captures optical data that can be processed by algorithms to provide health assessments previously requiring trained veterinarians, reducing both time and expertise requirements while maintaining diagnostic accuracy.
Solution Approach 2:
The system enables untrained handlers to perform animal assessments independently using the portable spectrometer. The device self-calibrates and automatically processes spectral data through built-in algorithms, eliminating the need for skilled veterinary technicians and allowing any staff member to conduct accurate health screenings.
4Manufacturing precision
If feed, water, and supplementation are adjusted for each animal, then manufacturing precision is improved, but device complexity increases
Solution Approach 1:
The patent implements a feedback loop where spectral measurements continuously monitor animal response to feed and supplementation. The system compares current spectral data against established reference ranges to detect deviations in growth or health, automatically triggering adjustments to feed formulations or supplementation protocols based on real-time animal status.
Solution Approach 2:
The system enables tailored management approaches for individual animals or specific groups based on their unique spectral signatures. Instead of uniform treatment for all animals, the feedback from spectral data allows customization of feed and care protocols to match each animal's specific growth stage, health status, and genetic potential.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for optimized resource allocation by identifying and addressing individual animal needs, reducing costs and time associated with skilled veterinary analysis, and ensuring consistent market performance through continuous monitoring and adjustments.
Implementation Method 1
using non-invasive means using spectral scanning of livestock and/or their excreta
Data Source
AI summary
A system for measuring a market performance metric of an animal comprising: a sensor unit that detects an emitted spectrum from the animal wherein the sensor unit filters the received emitted spectra to a set of spectral values; and a memory unit that comprises a set of predetermined chemometric data correlated to at least the market performance metric, wherein the memory unit is correlated to the set of spectral values.