Image-Based Soil Mapping via Non-Crop Vegetation Analysis
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Solution Overview
Problem
Current methods for compiling soil characteristic maps are costly and time-consuming, requiring physical soil samples and frequent updates, which can be prohibitive for smaller crop producers and lead to outdated maps.
Innovation Solution
An image-based soil mapping system that uses georeferenced field images to identify and categorize non-crop vegetation distributions, correlating them with soil characteristics stored in a database to generate accurate soil maps, potentially aided by drones or camera-equipped vehicles, and provides soil treatment recommendations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical soil sampling and lab analysis methods are used, then measurement precision of soil characteristics is improved, but loss of time and productivity deteriorate due to costly and time-consuming processes
Solution Approach 1:
The patent replaces the mechanical system of physical soil sampling, transportation, and laboratory analysis with an optical/electromagnetic system using drones or satellites to capture imagery, and image processing algorithms to extract soil characteristic data. This substitution eliminates the time-consuming physical sampling process while maintaining measurement capability through alternative optical detection methods.
Solution Approach 2:
The patent creates a visual copy or representation of soil characteristics through image processing of aerial or satellite imagery. Instead of physically collecting and analyzing soil samples, the system captures optical copies of the field surface and uses image analysis to infer soil properties, thereby avoiding the time loss associated with physical sampling and laboratory procedures.
2Reliability
If frequent soil sampling and map updates are performed, then reliability of soil data is improved, but loss of time and increased costs worsen
Solution Approach 1:
The patent enables continuous or near-continuous monitoring of soil characteristics by utilizing regularly captured aerial or satellite imagery. Instead of periodic discrete sampling campaigns, the system processes ongoing imagery streams to maintain current soil maps, ensuring data reliability without the time and cost penalties of frequent physical sampling expeditions.
Solution Approach 2:
The system allows soil maps to update automatically through continuous image processing without requiring repeated manual sampling interventions. The imagery-based approach enables the soil information system to self-renew and maintain currency through automated processing of newly acquired images, eliminating the need for repeated time-consuming field sampling campaigns.
3Measurement precision
If physical soil sampling is used, then measurement precision is improved, but device complexity and ease of operation worsen due to requiring multiple steps including sampling, transportation, and lab analysis
Solution Approach 1:
The patent merges the functions of soil sampling, transportation, and analysis into a single integrated imagery capture and processing system. The drone or satellite simultaneously captures imagery data that contains soil characteristic information, eliminating the need for separate sampling, transportation, and laboratory analysis steps, thereby reducing device and process complexity while maintaining measurement precision.
Solution Approach 2:
The imagery-based system serves multiple functions simultaneously: it captures visual data, processes it to extract soil characteristics, and generates updated soil maps all through a single operational platform. This multi-functional approach replaces the specialized equipment and procedures required for physical sampling and laboratory analysis, simplifying the overall system while preserving measurement accuracy.
Data Source
AI summary
Embodiments of a soil mapping process include the step or process of receiving georeferenced field images of vegetation within an imaged crop field, the georeferenced field images transmitted from a field imaging source to an image-based soil mapping system. The image-based soil mapping system visually analyzes the georeferenced field images to identify and categorize non-crop vegetation distributions present within the imaged crop field; compiles a soil characteristic map for the imaged crop field based, at least in part, on a comparison between the non-crop vegetation distributions and data stored in a first database correlating different categories of non-crop vegetation with variations in one or more soil characteristics; and then provides the soil characteristic map for user viewing on a display device.