X-ray Scanner for Intact Seed Cotton Analysis
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Solution Overview
Problem
Current methods for determining projected lint yield and seed quality in cotton crops are labor-intensive, costly, and prone to inconsistencies due to the need for physical separation of lint from seeds, posing safety hazards and varying results across different ginning processes.
Innovation Solution
The use of an X-ray scanner system with proprietary image analysis software to analyze intact seed cotton samples, determining lint percentage and other metrics without physical separation, allowing for high throughput and accurate measurement of seed quality characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical separation of lint from seeds using mechanical ginning is used, then lint yield can be determined, but the process becomes labor-intensive, time-consuming, and prone to inconsistencies
Solution Approach 1:
The patent replaces the mechanical ginning system with an optical imaging system using X-ray technology. Instead of physically separating lint from seeds through mechanical means, the system uses X-ray images to non-invasively determine lint yield and seed quality characteristics, thereby eliminating labor-intensive operations while maintaining measurement accuracy and enabling high-throughput analysis
Solution Approach 2:
The patent creates a digital copy of the seed cotton sample through X-ray imaging. The imaging system captures detailed internal structures and compositional information without physical contact or separation, allowing multiple measurements and analyses to be performed on the digital representation rather than requiring repeated physical processing of the actual samples
2Measurement precision
If mechanical ginning is used to separate lint from seeds, then lint percentage can be calculated, but safety hazards and operational inconsistencies arise
Solution Approach 1:
The patent substitutes the mechanical ginning process with non-contact X-ray imaging technology. This eliminates safety hazards associated with mechanical operations such as moving parts, lint dust inhalation, and physical handling, while maintaining the ability to accurately determine lint percentage through image analysis of internal sample composition
3Measurement precision
If samples are ginned to remove surrounding lint for seed analysis, then seed quality characteristics can be measured, but the process is time-intensive and costly
Solution Approach 1:
The patent uses X-ray imaging to create a digital representation of intact seed cotton samples, allowing seed quality characteristics such as size, shape, volume, and internal structure to be measured directly from the images without physical separation. This digital copying approach eliminates time-intensive ginning operations while preserving measurement accuracy
Solution Approach 2:
The patent performs preliminary non-invasive imaging of intact samples before any separation is attempted. By capturing comprehensive data from the complete sample structure first, the system eliminates the need for subsequent time-consuming separation steps to obtain seed quality measurements
4Loss of information
If physical separation of lint from seeds is performed, then lint yield data can be obtained, but labor costs and operational complexity increase
Solution Approach 1:
The patent replaces complex mechanical separation equipment and multi-step ginning processes with a single X-ray imaging system. This substitution maintains complete data acquisition by capturing internal sample composition and structure in the image data, while dramatically reducing operational complexity and eliminating the need for separate separation, weighing, and calculation procedures
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 increases the accuracy and precision of lint yield and quality measurements, reduces labor and cost, and eliminates safety hazards, while enabling the detection of difficult-to-determine traits such as seed maturity and oil content, improving breeding decisions.
Implementation Method 1
utilize an X-ray scanner system to scan a plurality of seed cotton samples
Data Source
AI summary
A system for analyzing intact cotton, wherein the system comprises an X-ray scanner system and a plurality of sample containers, wherein at least one seed cotton sample container is structured and operable to retain a respective one of a plurality of intact cotton samples. The system additionally comprises a sample support platform that is structured and operable to move the plurality of sample containers past an image data generation assembly of the X-ray scanner system. The system further comprises a computer based system that is structured and operable to execute image analysis software to determine at least one metric of at least one of the intact cotton samples.