Forage Harvesting Control System with Predictive Crop Sensing
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Solution Overview
Problem
The challenge in agricultural systems is to precisely and efficiently harvest forage crop material as hay or silage, balancing quantity and quality while optimizing processing operations to achieve high feed value, as timing and processing techniques are critical but often difficult to determine accurately.
Innovation Solution
An agricultural system with a mower-conditioner and self-propelled hay cutting machine equipped with sensors and a control system that adjusts operations based on real-time conditions and predicted crop material conditions, allowing for precise control and optimization of forage processing operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If the crop material is allowed to grow through various growth stages to maximize quantity, then the yield is improved, but the nutritional value diminishes
Solution Approach 1:
The system performs preliminary actions by continuously monitoring crop growth parameters and predicting optimal harvest timing before nutritional value deteriorates. Sensors detect growth stage indicators and the control system calculates the precise moment to harvest, preventing the quality loss that occurs with extended growth.
Solution Approach 2:
The system employs feedback mechanisms where sensors continuously monitor crop parameters (height, moisture, biomass) and feed this information back to the control system. This real-time feedback enables dynamic adjustment of harvest timing to maximize both yield and nutritional value based on actual growth conditions.
2Reliability
If precise timing of harvesting operations is implemented to optimize quality, then the nutritional value is improved, but the complexity of determining the optimal time increases
Solution Approach 1:
The system performs self-service by automatically monitoring, analyzing, and determining optimal harvest timing without requiring external expert intervention. The integrated sensors and control system autonomously track crop development and calculate the precise harvest window, eliminating the need for manual assessment by farmers.
Solution Approach 2:
The system replaces manual mechanical assessment methods with automated electronic sensing and computational analysis. Instead of visual inspection or physical measurement by farmers, electronic sensors detect growth parameters and the control system computes optimal timing, reducing complexity through automation.
3Reliability
If precise processing operations are implemented to preserve leafy material and maximize feed value, then the quality is improved, but the complexity of processing control increases
Solution Approach 1:
The control system uses feedback from sensors monitoring crop characteristics (moisture content, biomass density, leaf-to-stem ratio) to automatically adjust processing parameters. This feedback loop enables precise control of cutting height, conditioning intensity, and drying rates to preserve nutritional value while maintaining manageable system complexity through automation.
Solution Approach 2:
The system optimizes processing by dynamically changing operational parameters based on real-time crop conditions. The control system adjusts cutting height, mower speed, conditioner roller pressure, and drying duration according to measured crop parameters, achieving high feed value through adaptive parameter optimization rather than fixed complex procedures.
4Quantity of substance
If multiple harvesting cycles are conducted during a season to maximize total yield, then the quantity is improved, but the timing precision required for each cycle increases
Solution Approach 1:
The system performs preliminary monitoring and prediction for each harvesting cycle, establishing the optimal timing before the harvest occurs. By continuously tracking crop development across multiple cycles, the system proactively determines the precise harvest window for each cycle, enabling multiple high-yield harvests with accurate timing control.
Solution Approach 2:
The system uses feedback from continuous monitoring across multiple growth cycles to refine timing predictions for subsequent harvests. Data from each cycle informs the optimization of the next cycle's timing, allowing the system to achieve high measurement precision for multiple harvesting operations through cumulative learning and adaptive control.
Data Source
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AI summary
An agricultural system (100) for harvesting a forage crop material, including: a first agricultural work equipment (101) for controllably harvesting the forage crop material, the first agricultural work equipment (101) including: a first forage processing assembly (211)and a first control system (212) including: a first forage processing assembly condition sensor (221, 222, 223, 224, 225) configured for sensing a first actual condition of the first forage processing assembly (211) and thereby for outputting a first actual condition signal associated with the first actual condition of the first forage processing assembly (211); a first controller (213) operatively coupled with the first forage processing assembly condition sensor (221, 222, 223, 224, 225) and the first forage processing assembly (211) and configured for: receiving the first actual condition signal; determining a first adjustment signal based at least in part on the first actual condition signal and at least one first predicted forage crop material condition associated with a first forage processing operation; outputting the first adjustment signal and thereby for initially adjusting, prior to beginning the first forage processing operation, a first device (231B-235B) of the first forage processing assembly (211).