Windrow Conditioning Control for Uniform Crop Dry-Down
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing agricultural systems struggle to achieve uniform crop moisture content across a field due to varying soil conditions and weather, leading to inconsistent dry-down times and potential leaf loss during crop conditioning.
Innovation Solution
A system that automatically adjusts crop conditioning settings, such as roller gap and tension, using real-time data and machine learning algorithms to optimize dry-down time while minimizing leaf loss, based on crop moisture characteristics and dry-down characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If manual adjustment of conditioning implements is used, then operator control is maintained, but uniformity of crop moisture content across the field deteriorates
Solution Approach 1:
The system uses sensors to automatically detect crop moisture content and soil conditions, then the controller autonomously adjusts roller gap and tension without operator intervention. The system serves itself by using its own sensor data to make real-time conditioning adjustments, eliminating the need for manual monitoring and adjustment while maintaining uniform crop moisture content across varying field conditions.
Solution Approach 2:
The system continuously monitors crop moisture content through sensors and uses this feedback to dynamically adjust conditioning implement settings. The controller receives real-time moisture data and automatically modifies roller gap and tension to achieve target moisture uniformity, creating a closed-loop control system that responds to actual field conditions.
2Manufacturing precision
If fixed conditioning settings are used, then device complexity is reduced, but dry-down time uniformity deteriorates
Solution Approach 1:
The conditioning system transitions from fixed settings to dynamic adjustment. The roller gap and tension are continuously modified based on real-time sensor data about crop moisture and soil conditions. This dynamic capability allows the system to adapt to varying field conditions throughout the harvest, achieving uniform dry-down times without requiring complex manual intervention.
Solution Approach 2:
The system changes physical parameters of the conditioning implements (roller gap distance and roller tension force) based on detected field conditions. By automatically adjusting these parameters in response to moisture sensor readings, the system optimizes conditioning intensity across different soil types and moisture levels, achieving uniform dry-down without fixed settings.
3Loss of time
If aggressive crop conditioning is applied, then dry-down time is reduced, but leaf loss increases
Solution Approach 1:
The system precisely controls conditioning parameters (roller gap and tension) based on actual crop moisture content rather than applying fixed aggressive settings. By adjusting these parameters to match the specific moisture level and crop condition, the system achieves adequate dry-down while minimizing unnecessary mechanical stress that would cause leaf loss. The conditioning intensity is optimized rather than maximized.
Solution Approach 2:
The moisture sensors provide feedback on actual crop moisture levels, allowing the controller to adjust conditioning intensity appropriately. When crops are already at favorable moisture levels, the system reduces conditioning aggressiveness to prevent leaf loss. When moisture content is higher, the system increases conditioning intensity to achieve timely dry-down, creating an optimized balance between speed and crop quality.
Data Source
AI summary
One or more techniques and/or systems are disclosed for developing appropriate settings for a windrower implement or forage harvester implement, to obtain a desired crop conditioning profile for a target crop. Field crop conditions may vary due to soil conditions, moisture content, and the operator may wish to get crop uniformity when collected. As such, a profile can be developed that provides adjustment data to actuators to adjust machine setting, to provide for a conditioning systems to obtain a desired result. The adjustment data can be generated based on such as the moisture content of the target crop, the target moisture content, and the dry-down characteristics for the crop. The profile can help set the harvesting system to provide appropriate cut and crimp to result in a desired dry-down time to get uniformity in the collected crop.