Forward-Looking Harvest Perception Interface for Proactive Vehicle Control
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Solution Overview
Problem
Agricultural harvesting vehicles face challenges in dynamically optimizing operation settings to adapt to varying harvesting conditions, such as crop yield, moisture, and damage, requiring either static optimization, operator skill, or reactive adjustments that may not fully optimize performance.
Innovation Solution
An agricultural work vehicle equipped with a propulsion system, harvesting system, and a perception system that includes cameras and a controller to generate a forward-looking perception interface, allowing real-time identification of harvest conditions and adjustment of operation settings, including sensitivity levels and vehicle settings, to optimize harvesting operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic optimization of operation settings is implemented, then harvesting performance is improved, but operator complexity and task burden increase
Solution Approach 1:
The system enables self-service automation where the harvesting vehicle automatically monitors crop conditions through cameras and sensors, identifies harvest conditions using image processing algorithms, and adjusts operation settings without operator intervention. The controller autonomously manages the complexity of dynamic optimization, freeing the operator from manual adjustment tasks while maintaining high harvesting performance.
Solution Approach 2:
The system dynamically changes operation parameters (speed, header height, reel speed, etc.) based on real-time crop condition detection. The controller modifies these parameters automatically in response to detected harvest conditions such as crop density, moisture content, and crop type, eliminating the need for operators to manually manage complex parameter adjustments.
2Productivity
If reactive adjustment based on yield sensors is used, then some optimization is achieved, but full optimization is limited due to delayed response
Solution Approach 1:
The system performs preliminary action by detecting harvest conditions in real-time using forward-facing cameras and sensors before the vehicle encounters the crop. This allows the controller to pre-adjust operation settings in advance, rather than reacting after yield sensors detect conditions. The forward-looking perception system enables proactive optimization, reducing the time lag between condition detection and parameter adjustment.
Solution Approach 2:
The system implements continuous feedback loops where cameras and sensors monitor crop conditions, the controller processes this data to identify harvest conditions, and operation settings are adjusted accordingly. This closed-loop feedback system ensures real-time optimization by constantly comparing actual crop conditions with optimal harvesting parameters and making immediate adjustments.
3Ease of operation
If static optimization is applied, then operator skill requirements are reduced, but harvesting performance suffers due to inability to adapt to varying conditions
Solution Approach 1:
The system transitions from static to dynamic operation settings by continuously monitoring crop conditions and automatically adjusting parameters in real-time. The controller dynamically modifies speed, header height, and other settings based on detected harvest conditions, enabling the vehicle to adapt to varying crop conditions without requiring operator expertise. This dynamic automation maintains ease of operation while dramatically improving harvesting performance.
Data Source
AI summary
In accordance with an example embodiment, an agricultural work vehicle includes a propulsion system for modifying vehicle speed, a harvesting system for harvesting crop, a perception system having at least one camera with a field of view of a forward zone in front of the vehicle, and a controller. The controller communicates with the propulsion, harvesting, and perception systems, and is configured to receive the perception signal, identify a harvest condition in the forward zone, adjust an operation setting of the propulsion system or harvesting system, and generate a forward-looking perception interface for a display screen. The forward-looking perception interface includes a forward zone area displaying the field of view and a status area displaying at least one harvest condition identified. The status area also displays a time and a sensitivity level associated with the at least one harvest condition identified.