Planter Row Unit Alignment via Real-Time Imaging Feedback
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Solution Overview
Problem
Agricultural planters face inefficiencies and reduced crop yield due to misalignment of row units, which can result in incomplete seed trench closure, caused by factors like frame flex, side-hill slopes, or component failures, leading to seeds not growing well in open or partially closed trenches.
Innovation Solution
An agricultural planting system equipped with imaging devices and a processor that captures images of the field to determine the alignment of seed trench opening and closing lines, and takes corrective action to align them, ensuring complete closure of seed trenches.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the planter operates at high speed or under heavy load, then productivity increases, but frame flex and alignment stability deteriorate causing trench closure failure
Solution Approach 1:
The system uses imaging devices to capture images of the field behind the planter, processes these images to determine the location of opening and closing lines, and provides feedback to the control system. The control system then adjusts the position of row units in real-time to maintain proper alignment between opening and closing lines, enabling high-speed operation while maintaining alignment stability.
Solution Approach 2:
The system dynamically adjusts the position of row units during operation based on real-time imaging feedback. The actuators move the row units laterally to compensate for frame flex and alignment deviations, allowing the planter to maintain optimal performance across varying operating conditions including different speeds and loads.
2Manufacturing precision
If manual monitoring and adjustment of row unit alignment is used, then alignment accuracy can be maintained, but labor requirements and operational complexity increase
Solution Approach 1:
The system performs self-monitoring and self-correction of row unit alignment. The imaging devices automatically capture and process images to detect misalignment, and the control system automatically actuates the row units to correct the alignment, eliminating the need for manual monitoring and adjustment while maintaining high alignment precision.
Solution Approach 2:
The system replaces manual mechanical monitoring and adjustment with an automated optical-electronic-control system. Imaging devices (optical) capture alignment information, processors (electronic) analyze the images to determine misalignment, and actuators (control) automatically adjust the row unit positions, substituting human labor with an integrated automated system.
3Reliability
If imaging devices and automated correction systems are added to the planter, then trench closure reliability improves, but device complexity and cost increase
Solution Approach 1:
The imaging devices serve multiple functions: they capture images for alignment monitoring, provide feedback for real-time correction, and can potentially be used for other planting quality assessments. This multi-functionality justifies the added complexity by providing comprehensive monitoring and control capabilities from a single system addition.
Data Source
AI summary
An agricultural planting or seeding implement includes a frame, at least one row unit, one or more imaging devices, and a processor. The at least one row unit includes a seed trench opening assembly extending along an opening line and configured to open a seed trench, a seed deposition assembly configured to deposit a seed in the open seed trench, and a seed trench closing assembly extending along a closing line and configured to close the seed trench. The one or more imaging devices capture images of a field behind the agricultural planting implement as the agricultural planting implement traverses the field. The processor processes the images captured by the one or more imaging devices, including determining a location of the opening line based on the captured images, determining a location of the closing line based on the captured images, determining whether the opening line and the closing line are aligned with one another, and determining a corrective action to bring the opening line and the closing line into alignment in response to determining that the opening line and the closing line are not aligned with one another.