Harvester Yield Map Correction via Real-Time Delay Adjustment
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Solution Overview
Problem
Current harvest mapping systems rely on time delays and predefined settings, leading to inaccuracies in yield mapping due to incorrect calculation of harvest delay and working width, resulting in areas showing zero yield where grain is being harvested.
Innovation Solution
A system that uses sensors to determine the time delay between crop entry into the harvester head and yield sensor activation, adjusts yield data accordingly, and geographically shifts recorded yield values to accurately map harvested rows, eliminating false readings and improving working width calculations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If predefined time delay settings are used in harvest mapping systems, then the system operation is simplified, but the yield mapping accuracy deteriorates due to incorrect calculation of harvest delay
Solution Approach 1:
The system automatically calculates the harvest delay time based on sensor data from crop entry detection and yield sensor activation, eliminating the need for manual predefined settings. The processor autonomously determines the time delay by comparing timestamps from the crop entry sensor and yield sensor, and self-adjusts the mapping parameters accordingly.
Solution Approach 2:
The system uses feedback from sensors detecting crop entry and yield sensor activation to continuously refine and adjust the harvest delay time calculation. This feedback mechanism allows the system to adapt to varying operating conditions and maintain accurate yield mapping without requiring manual intervention for parameter adjustment.
2Device complexity
If incorrect harvest delay calculation is used, then the device complexity is reduced, but the working width calculation accuracy deteriorates, resulting in areas showing zero yield where grain is being harvested
Solution Approach 1:
The system replaces complex mechanical timing mechanisms with electronic sensor-based detection and digital processing. Sensors detect crop entry and yield sensor activation timestamps, and a processor calculates the harvest delay electronically, eliminating the need for mechanical timing devices while improving accuracy.
Solution Approach 2:
The system introduces sensors as intermediary detection elements between the physical crop flow and the digital mapping system. These sensors act as mediators that convert physical events (crop entry, yield detection) into detectable signals, enabling precise timing measurement without direct mechanical intervention.
3Measurement precision
If manual corrections are applied to yield maps, then the measurement precision can be improved, but the productivity decreases due to time-consuming manual intervention
Solution Approach 1:
The system performs automatic correction of yield map data by processing sensor timestamps and calculating harvest delay parameters without requiring manual intervention. The processor autonomously adjusts the mapping data based on the calculated time delay, eliminating the need for operators to manually correct yield map inaccuracies.
Solution Approach 2:
The system continuously processes sensor data and adjusts yield mapping parameters in real-time during harvest operations. This continuous automatic adjustment ensures accurate yield maps are generated without interruption or manual intervention, maintaining both high precision and productivity throughout the harvesting process.
Data Source
AI summary
A system for mapping yield in real time or near real-time comprising: determining when crop enters a harvester head via one or more sensors; determining when the crop reaches a yield sensor; measuring the time delay between the crop entering the harvester head and when the crop reaches a yield sensor; and adjusting the yield data to account for the time delay.