Harvester Residue Imaging Control for Real-Time Setting Adjustment
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Solution Overview
Problem
Existing agricultural work machines, such as harvesters, face challenges in efficiently adjusting operational settings based on real-time crop harvest characteristics, leading to suboptimal performance in residue handling and processing.
Innovation Solution
An agricultural system equipped with an imaging device, analyzing unit, and control unit that captures images of crop residue, categorizes them using probability analysis, and adjusts operational settings based on derived crop harvest characteristics to improve residue performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If real-time image analysis and probability-based control are implemented, then residue handling performance is improved, but device complexity increases
Solution Approach 1:
The system captures images of crop residue, analyzes them to determine probability values indicating residue characteristics, and uses these probabilities to automatically adjust harvester operational settings. This closed-loop feedback mechanism enables real-time optimization of residue handling performance based on actual residue conditions observed during harvesting operations.
Solution Approach 2:
The patent replaces manual mechanical adjustment of harvester settings with an automated control system that uses image processing and probability calculations. The control unit receives probability values from the analyzing unit and automatically adjusts operational parameters, substituting mechanical decision-making with intelligent automation.
2Measurement precision
If probability-based categorization of crop harvest characteristics is used, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The system transforms visual images of crop residue into probability values that represent the likelihood of specific residue characteristics. By converting image data into probabilistic parameters, the system achieves precise measurement of crop harvest characteristics without requiring complex physical measurement devices.
Solution Approach 2:
The analyzing unit serves as an intermediary between the imaging device and the control unit. It processes images and converts them into probability values that can be easily interpreted and used for control decisions, simplifying the overall system architecture while maintaining measurement precision.
Data Source
AI summary
An agricultural system includes an imaging device configured to capture an image indicative of a characteristic, one or more processors, and memory storing instructions executable by the one or more processors. The instructions, when executed by the one or more processors, cause the agricultural system to: determine, based, at least, on the image, a probability value corresponding to the image, the probability value indicating a probability that the characteristic indicated by the image corresponds to a characteristic level category of a plurality of characteristic level categories; and control an agricultural machine based, at least, on the probability value.