Non-destructive Corn Rootworm Damage Assessment via X-ray CT

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Solution Overview

Problem

Current methods for assessing damage to plant roots from insect root herbivores are manual, labor-intensive, and destructive, limiting throughput and plant vigor, and there is a need for non-destructive, automated methods to evaluate the efficacy of insecticidal materials against corn rootworms.

Innovation Solution

Non-destructive imaging methods using X-ray computed tomography (CT) or magnetic resonance imaging (MRI) to assess root damage by obtaining images of plant roots infested with insect root herbivores, allowing for the generation of root nodal injury scores and evaluating the efficacy of insecticidal materials, which can be automated for high-throughput bioassays.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If manual assessment and scoring methods are used to evaluate root damage, then human interpretation and training can be applied to assess root nodal injury, but the process involves considerable handwork, is labor-intensive, and may cause damage to plants through direct manipulation

Engineering Contradiction:
Improveroot nodal injury score accuracyVSAvoidassessment throughput
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent replaces manual mechanical assessment with automated imaging systems (X-ray, MRI, or optical imaging) that non-destructively capture root structures. Image processing algorithms automatically analyze the captured images to generate root nodal injury scores, eliminating the need for manual handling and visual inspection while maintaining or improving measurement precision and significantly increasing throughput capacity

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates digital copies (images) of the root systems through non-destructive imaging techniques. These digital representations allow for repeated analysis without physical manipulation of the actual roots, enabling automated scoring algorithms to evaluate multiple parameters from the same copy and eliminating the need for destructive sampling

Inventive Principle:
Principle #26Copying

2Measurement precision

If manual root manipulation and washing is performed to assess root damage, then direct visual inspection of roots is possible, but plant vigor and agronomics may be compromised due to direct plant manipulation

Engineering Contradiction:
Improveroot damage visibilityVSAvoidplant vigor
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The patent substitutes physical root extraction and washing with non-destructive imaging techniques that can visualize roots in situ within the soil matrix. X-ray and MRI imaging penetrate the soil to capture root structures without disturbing the plant-root-soil system, while optical methods use transparent containers to allow direct imaging, thereby maintaining plant vigor and ecological validity while achieving sufficient measurement precision

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent introduces imaging technology as an intermediary between the researcher and the root system. Instead of directly manipulating roots through extraction and washing, the imaging system serves as a mediator that captures information about root condition non-invasively, allowing assessment of root damage while preserving plant integrity and vigor

Inventive Principle:
Principle #24Intermediary (Mediator)

3Measurement precision

If traditional manual scoring methods are used, then detailed human evaluation of root nodal injury can be performed, but automation and high throughput capability are limited

Engineering Contradiction:
Improveroot injury evaluation accuracyVSAvoidassessment automation level
Core Design Contradiction:
Measurement precisionVSExtent of automation

Solution Approach 1:

The patent replaces manual evaluation mechanics with automated image processing systems that use algorithms to detect, segment, and quantify root nodal injury from imaging data. These automated systems can evaluate multiple plants simultaneously or in rapid sequence, generating consistent root nodal injury scores without human interpretation variability while maintaining measurement precision through validated image analysis protocols

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

Solution Approach 2:

The patent creates digital copies of root systems through imaging that can be analyzed repeatedly by automated algorithms. These digital representations allow for automated feature extraction, pattern recognition, and injury quantification without requiring human reviewers to physically handle or re-examine samples, thereby enabling full automation while preserving the detailed evaluation capability

Inventive Principle:
Principle #26Copying

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

The method enables accurate, non-destructive assessment of root damage and efficacy of insecticidal materials, correlating well with manual scoring, allowing for continuous evaluation of root damage and providing insights into root growth and material effectiveness, thereby improving plant protection and reducing manual handling risks.

Implementation Method 1

non-destructive imaging methods using X-ray computed tomography (CT)

Methodology Applied
Scientific EffectX-ray: X-Ray

Implementation Method 2

magnetic resonance imaging (MRI) to assess root damage

Methodology Applied
Scientific EffectMagnetic resonance imaging:

Data Source

PatentUS11703463B2Non-destructive assessment of corn rootworm damage
Publication Date: 2023.07.18 PIONEER HI BREED INTERNATIONAL INC
  • US11703463B2 patent drawing
  • US11703463B2 patent drawing
  • US11703463B2 patent drawing

AI summary

The present embodiments generally relate to methods of non-destructively imaging plant root damage by insect root herbivores and evaluating the efficacy of insecticidal materials associated with the roots of plants against the insect root herbivores, useful for automated high throughput bioassays.