Camera-Based Furrow Evaluation for Consistent Seed Planting
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Solution Overview
Problem
Farmers face challenges in assessing key factors such as seed resting place, spacing, depth, furrow integrity, and seed-to-soil contact during seed planting, making it difficult to ensure high efficiency and quality.
Innovation Solution
Incorporating a camera into the planter row unit to capture image data, analyze furrow profiles, and provide feedback on furrow consistency and depth, with automated systems adjusting settings based on this data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a camera is added to monitor and detect seed planting quality, then measurement precision of furrow characteristics is improved, but device complexity increases
Solution Approach 1:
The patent replaces mechanical measurement systems with an optical camera-based system to measure furrow depth and characteristics. The camera captures images of the furrow, and image processing algorithms extract depth information, eliminating the need for complex mechanical depth sensors while improving measurement precision.
Solution Approach 2:
The patent introduces image processing algorithms as an intermediary between the camera and the measurement system. These algorithms process the raw camera images to extract furrow depth and quality metrics, serving as a mediator that translates optical data into meaningful agricultural measurements without requiring direct mechanical contact.
2Loss of information
If real-time camera monitoring is implemented, then information availability on seed planting quality is improved, but loss of time for data processing increases
Solution Approach 1:
The patent implements preliminary action by pre-defining the image processing algorithms and measurement criteria before the actual planting operation. The system is pre-configured to know what features to extract and how to evaluate them, allowing for rapid real-time processing during operation without requiring complex on-the-fly decision making.
Solution Approach 2:
The patent employs periodic action by processing images at regular intervals rather than continuously analyzing every frame. This periodic sampling approach provides sufficient information about furrow quality while significantly reducing the computational time and processing load compared to continuous real-time analysis.
3Manufacturing precision
If automated feedback systems are added to adjust planting parameters, then manufacturing precision of seed placement is improved, but device complexity increases
Solution Approach 1:
The patent implements feedback by using the camera-based measurement system to monitor furrow depth and quality, then using this information to automatically adjust planting parameters. The system creates a closed-loop control where measurement results directly influence subsequent planting actions, improving seed placement accuracy through real-time corrections.
Solution Approach 2:
The patent applies self-service by enabling the planting system to automatically monitor and adjust its own performance without external intervention. The automated feedback system allows the equipment to self-correct planting parameters based on real-time furrow conditions, reducing the need for manual monitoring and adjustment by operators.
Data Source
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AI summary
A method for evaluating a furrow (202) created by an agricultural machine (300). The method includes obtaining image data of the furrow (202) from a camera (62) on the agricultural machine; processing the image data for a time interval and identifying furrow profile images; determining from the furrow profile images a quantity of inconsistent furrow images; and providing furrow profile feedback based on the quantity of inconsistent furrow profile images.