Automated Seed Treatment Controller for Research Plan Adaptability
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Solution Overview
Problem
Conventional seed treatment methods are labor-intensive, time-consuming, and prone to errors due to reliance on manual processes, making it difficult to quickly and accurately adapt to changes in research plans and maintain accurate documentation of seed sample treatments.
Innovation Solution
A system and method that uses a controller to automate the distribution and treatment of seed samples, including scanning identification data, quantifying seed samples, and applying treatment materials based on instruction sets, allowing for flexible and precise treatment according to changing research plans, while also recording and preserving treatment information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual processes are used for seed treatment and documentation, then operational simplicity is maintained, but productivity is reduced and errors increase
Solution Approach 1:
The patent replaces manual mechanical operations with an automated control system that uses a controller to coordinate seed sample distribution, treatment material application, and documentation recording. The controller automatically manages the entire seed treatment process based on research plan instructions, eliminating manual intervention while maintaining process accuracy and improving throughput.
Solution Approach 2:
The system enables self-service operation where the controller autonomously executes treatment protocols without requiring continuous manual input. The automated system independently manages seed sample tracking, treatment application timing and dosage, and documentation generation, allowing the process to run with minimal human oversight while maintaining high productivity.
2Reliability
If manual documentation methods are used, then system complexity is reduced, but reliability of treatment records deteriorates
Solution Approach 1:
The controller implements feedback mechanisms by automatically recording treatment parameters, seed sample identification, and processing conditions during each treatment cycle. This automated data capture and verification process ensures accurate documentation of all treatment events, eliminating manual recording errors and providing reliable traceability for research integrity.
Solution Approach 2:
The controller serves as an intermediary between the physical treatment process and the documentation system. It automatically translates treatment actions into recorded data, ensuring accurate and consistent documentation without requiring manual transcription. This intermediary function eliminates errors associated with manual record-keeping while maintaining system reliability.
3Adaptability or versatility
If conventional treatment methods are used, then equipment simplicity is maintained, but adaptability to changing research plans is reduced
Solution Approach 1:
The controller implements dynamic adaptability by allowing treatment parameters, protocols, and research plan instructions to be modified during operation. The system can respond to changing research requirements by adjusting treatment conditions, seed sample selection criteria, and documentation formats without requiring physical reconfiguration of equipment, enabling flexible adaptation to evolving research plans.
Solution Approach 2:
The automated control system provides universal functionality by managing multiple treatment protocols, seed sample types, and documentation formats through a single integrated controller. This multi-functional capability allows the system to adapt to various research plans and treatment requirements without requiring separate specialized equipment for each application type.
Data Source
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AI summary
A system (10) and method for treating a least a portion of an initial seed sample to create one or more treated seed samples is provided. In various embodiments, one or more seed treatment apparatus (100) components are in communication with one or more controllers (40) such that seed samples treated by a seed treater (124) may be treated at least in part based on one or more instruction sets that may be associated with one or more research plans. As a result, the method and system are configured to accurately, consistently, and predictably treat seed samples, and to adapt and change the treatment of seed samples based on changing research plans.