Harvester Yield Monitoring With Cross-System Calibration Feedback
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Solution Overview
Problem
Existing agricultural harvesters lack accurate systems for monitoring and correcting crop-related parameters, leading to inconsistencies in yield measurement and data accuracy.
Innovation Solution
A yield monitor system integrated with harvester sensors and a computing system that calculates correction factors based on data from both harvester and remote processing systems, adjusting parameters to ensure accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If yield monitor systems are used to measure crop parameters, then productivity is improved, but measurement precision deteriorates due to inconsistencies in yield measurement
Solution Approach 1:
The system compares harvester sensor data with processing system sensor data and generates feedback in the form of correction factors. These correction factors are applied to adjust the harvester's yield measurements, creating a closed-loop feedback system that continuously improves measurement precision while maintaining high productivity during harvesting operations.
Solution Approach 2:
The system dynamically changes the measurement parameters by applying correction factors to the raw sensor data. These correction factors adjust key parameters such as yield, moisture content, and crop weight, transforming the raw measurements into calibrated values that reflect actual field conditions more accurately.
2Measurement precision
If correction factors are generated to improve measurement accuracy, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The computing system acts as an intermediary between the harvester sensors and the final measurement output. It receives raw data from both harvester and processing system sensors, performs calculations to generate correction factors, and applies these factors to produce calibrated measurements. This intermediary layer manages the complexity by centralizing the correction logic while keeping the actual harvesting and processing operations simple.
3Measurement precision
If data from both harvester and processing systems is integrated, then measurement precision is improved, but loss of time increases due to data synchronization requirements
Solution Approach 1:
The system performs preliminary data processing by continuously collecting and pre-processing sensor data from both harvester and processing systems during operation. Correction factors are generated in real-time or near-real-time based on the comparison of data from both sources, eliminating the need for time-consuming post-harvest data reconciliation and allowing immediate application of corrected measurements.
Data Source
AI summary
A harvesting system can include a harvester including a yield monitor system configured to provide information related to a crop-related parameter of a harvested crop material from a harvester sensor and a processing system remote from the harvester and configured to generate processing system-generated data indicative of the crop-related parameter from a processing system sensor. A computing system can be communicatively coupled to the harvester and the processing system. The computing system can be configured to determine a first value for the crop-related parameter at least partially based on harvester-generated data, determine a second value for the crop-related parameter at least partially based on processing system-generated data, determine a difference between the first value and the second value, and generate a correction factor when the difference exceeds a predefined difference range.