Non-invasive Multimodal Sensors for Soil Compaction Mapping
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Solution Overview
Problem
Current soil management techniques, such as precision farming, face challenges in efficiently gathering and processing spatially-variable data on soil compaction, which limits optimal tillage practices and can restrict root growth, leading to reduced crop productivity.
Innovation Solution
A system comprising a vehicle equipped with non-invasive multimodal sensors, including ground penetrating radar and acoustic sensors, that collect and analyze soil compaction data in real-time, generating a tillage prescription plan based on geographic location and depth, allowing for targeted tilling to address compaction issues.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If in-situ measurements are taken using soil probes and laboratory analysis, then soil condition data can be obtained, but the process becomes labor intensive and provides only a limited number of data samples due to high sampling costs
Solution Approach 1:
The patent replaces mechanical soil probing and laboratory analysis with electromagnetic sensing technology. Sensors mounted on agricultural vehicles use electromagnetic fields to detect soil compaction, moisture, and other conditions non-invasively, eliminating the need for physical soil extraction and lab processing while dramatically increasing data collection speed and coverage.
Solution Approach 2:
The patent creates electromagnetic signatures or models of soil conditions that replicate the information obtained from traditional physical sampling. By sensing electromagnetic properties of the soil in-situ, the system generates data copies that convey the same diagnostic value as laboratory analysis without requiring actual soil sample collection and processing.
2Area of stationary object
If remote sensing is used with aerial photographs or spectral images, then field data can be collected, but the data becomes difficult to correlate with precise locations and specific quantifiable characteristics
Solution Approach 1:
The patent introduces GPS and geographic information systems as intermediaries between the electromagnetic sensors and the soil conditions being measured. The sensors are mounted on vehicles with precise location tracking, creating a spatial reference framework that directly correlates electromagnetic soil signatures with exact geographic coordinates, enabling both broad coverage and precise location mapping.
3Reliability
If traditional tillage practices are used without optimization, then soil compaction issues may be addressed generally, but time, fuel, and equipment costs increase while environmental impact worsens
Solution Approach 1:
The patent implements variable rate tillage by mapping soil compaction variations across the field and applying tillage treatments only where needed and at appropriate depths. Instead of uniform field-wide tillage, the system creates localized treatment zones based on actual soil conditions, reducing unnecessary energy expenditure on already adequate areas while targeting problematic zones precisely.
Solution Approach 2:
The patent performs electromagnetic sensing and soil condition mapping before tillage operations to create a prescription map that guides subsequent tillage activities. This preliminary assessment allows farmers to plan tillage routes, depths, and intensities in advance, avoiding reactive or excessive tillage and optimizing fuel and equipment utilization before entering the field.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach enables farmers to optimize tillage practices, reducing soil compaction, saving time, fuel, and equipment costs while minimizing environmental impact, and improving crop productivity by ensuring roots can access necessary nutrients and moisture.
Implementation Method 1
A farmer can confidently forego prophylactic tillage (tillage in the absence of information about soil compaction) and to formulate an optimal tillage plan (deep tillage only when and where it is warranted) for large crop enterprises and acreage.
Implementation Method 2
Some embodiments provide that the first and/or second sensor includes a ground penetrating radar and some embodiments provide that the at least one sensor includes an acoustic assemblage.
Data Source
AI summary
Methods, systems and devices for determining optimized tillage of a soil area are provided. Operations include transmitting, using at least one sensor, a data set regarding a physical, chemical and/or biological aspect of the soil area. Operations include receiving, using at least one computing device, the data set regarding the physical, chemical and/or biological aspect of the soil area. The at least one computing device removes a set of redundant data and the at least one computing device enhances a set of data that is not the set of redundant data. Operations include generating a visualization of the set of data that is not redundant data. The data that is not redundant data provides a data set reflecting a soil compaction measurement within the soil area and the soil area is not deeper than 36 inches from a surface of the soil area.