Combine Harvester Grain Loss Detection With Camera-Based Recognition
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Solution Overview
Problem
Existing combine harvesters, especially older models, lack accurate grain loss detection systems, leading to significant grain loss during harvesting operations, which can be minimized by optimizing the threshing, separating, and cleaning processes.
Innovation Solution
A cost-effective grain loss detection system is installed at various locations within the combine to accurately determine grain losses and facilitate adjustments to these processes, using sensors and cameras to monitor and calibrate grain loss detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If grain loss detection systems are installed in combine harvesters, then grain loss can be monitored and optimized, but the device complexity increases
Solution Approach 1:
The detection system is divided into multiple independent sensors positioned at different locations (header section, threshing section, cleaning section) of the combine harvester. Each sensor independently monitors grain loss at its specific location, allowing the system to achieve comprehensive coverage without requiring a single complex centralized detection mechanism.
Solution Approach 2:
A controller acts as an intermediary component that receives signals from multiple sensors and processes the data to determine overall grain loss. The controller integrates information from different sensor types and locations, providing a unified measurement without requiring direct complex interactions between all system components.
2Measurement precision
If multiple sensors are installed at different locations to monitor grain loss, then measurement coverage improves, but the cost and complexity of the system increases
Solution Approach 1:
The detection system is divided into multiple independent sensors positioned at different locations (header section, threshing section, cleaning section) of the combine harvester. Each sensor independently monitors grain loss at its specific location, allowing the system to achieve comprehensive coverage without requiring a single complex centralized detection mechanism.
Solution Approach 2:
The sensors are designed to serve multiple functions: they detect grain loss, provide data for optimization control, and can identify specific loss locations within the combine harvester. This multi-functionality reduces the need for separate specialized systems for each purpose.
3Measurement precision
If existing grain loss sensors are calibrated and verified, then measurement accuracy improves, but the time required for calibration increases
Solution Approach 1:
The system performs preliminary calibration actions by establishing baseline measurements and reference data before actual harvesting operations begin. Calibration constants and sensor characteristics are determined in advance under controlled conditions, allowing for rapid deployment without time-consuming calibration during field operations.
Solution Approach 2:
The system incorporates self-calibration capabilities where sensors automatically adjust their measurements based on reference data and environmental conditions. The controller can compensate for sensor drift and variations without requiring manual intervention or external calibration equipment during normal operation.
Data Source
AI summary
A grain loss detector disposed on a combine harvester to detect grain loss within crop material being discharged by a separating or cleaning stage component of combine harvester while harvesting a crop. The grain loss detector includes at sensor generating sensor data output. A computing device receives the sensor data output for processing via software which compares the sensor data output against crop data characteristics to identify any grain kernels from among material other than grain. In one embodiment the sensor is a camera and the generated sensor data output is a digital image frame capturing the grain kernels and material other than grain passing the camera.