Connected Planter Data Sharing to Mitigate Double Planting
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Solution Overview
Problem
Agricultural implements face challenges in maintaining accurate and timely data synchronization, particularly when one or more inputs or subsystems are hindered or temporarily unavailable, leading to potential double planting and operational disruptions.
Innovation Solution
The implementation of a computerized method and system that enables real-time communication of agricultural data between connected implements. In cases where one implement becomes unavailable, the system interpolates anticipated data to ensure continued operation, using a sharing playthrough that includes anticipated data for mitigating double planting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If real-time data communication is implemented between connected agricultural implements, then data accuracy and timeliness are improved, but system complexity and vulnerability to communication failures increase
Solution Approach 1:
The system performs preliminary actions by maintaining a history of planting data and predicting future planting locations before actual planting occurs. This allows the system to prepare mitigation strategies in advance, so when communication failures occur, the system can continue operating using predicted data rather than being halted by the loss of real-time data.
Solution Approach 2:
The system changes the state of data from real-time communication data to predicted/interpolated data when communication failures occur. By transitioning between different data sources (real-time vs. predicted) based on communication availability, the system maintains operational continuity while adapting to varying data quality conditions.
2Measurement precision
If the system relies on real-time data from connected implements, then operational accuracy is improved, but reliability during communication interruptions deteriorates
Solution Approach 1:
The system applies beforehand cushioning by maintaining historical planting data and using prediction algorithms to create a buffer against communication failures. This cushion of predicted data ensures that when real-time communication is interrupted, the system has pre-prepared information to continue operations without immediate failure, thus enhancing reliability during interruptions.
Solution Approach 2:
The system uses feedback by continuously monitoring communication status and adjusting its data source accordingly. When communication is available, it uses real-time data; when communication fails, it switches to predicted data based on historical patterns. This feedback mechanism ensures the system maintains the highest possible reliability under varying communication conditions.
3Stability of the object's composition
If data synchronization is maintained across multiple implements, then data consistency is improved, but vulnerability to data loss during communication failures increases
Solution Approach 1:
The system applies copying by creating predicted copies of planting data based on historical patterns when communication with connected implements is interrupted. These copied/predicted data maintain consistency with the expected planting pattern, allowing the system to continue operations without losing critical planting information even when real-time synchronization is unavailable.
Solution Approach 2:
The system performs preliminary actions by pre-calculating predicted planting locations and storing them as backup data. This preliminary preparation ensures that when communication failures occur, the system has pre-computed data to maintain consistency without experiencing data loss, as the predicted data serves as a pre-prepared alternative.
4Productivity
If the system uses predictive data to mitigate double planting, then operational continuity is improved, but risk of planting errors increases
Solution Approach 1:
The system applies partial action by using predicted data only for the specific purpose of preventing double planting, while relying on real-time data for other planting decisions when available. This partial use of predicted data minimizes the risk of errors while maintaining operational continuity for the critical function of avoiding duplicate planting.
Solution Approach 2:
The system uses feedback by continuously validating predicted planting locations against actual planting data when communication is restored. This feedback mechanism allows the system to correct any errors in predicted data and ensures that the use of predictive information does not compromise overall planting accuracy, thereby maintaining both continuity and reliability.
Data Source
AI summary
Continued and precise operation of an agricultural implement exists even where a subsystem, such as a GPS receiver, wireless communicator, a sensor, or the like, fails, falters, or is otherwise unusable. Data is continually tracked to the extent possible during failure or faltering and is temporarily stored. To continue operations during periods of unavailability, a representation of planted ground is anticipated by other agricultural implements and/or calculated with agricultural data from other agricultural implements. Normal operations then continue until data sync can catch back up to real-time.