Microbe Sensor Signaling for Field Stressor Detection in Crops
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Solution Overview
Problem
Existing agricultural systems lack effective methods to identify and mitigate various stressors in the field, including biotic and abiotic factors that affect plant health and growth, which are often undetectable through conventional means.
Innovation Solution
A system utilizing genetically modified microbe sensors and sensor plants that express detectable signals in response to stressors, coupled with a computer system to interpret these signals and generate prompts for mitigation actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional detection methods are used in agricultural systems, then the system structure remains simple, but the ability to detect stressors is insufficient and many stressors remain undetectable
Solution Approach 1:
The patent introduces microbe sensors as intermediary organisms that detect stressors indirectly. These microbes are genetically modified to express reporter proteins in response to stressor presence, acting as biological mediators between the stressor and the detection system. This allows detection of stressors that would be invisible to conventional sensors while maintaining relatively simple system architecture.
Solution Approach 2:
The patent replaces conventional mechanical or electronic sensors with biological sensing mechanisms. Instead of using physical sensors to directly detect stressors, the system uses genetically modified microbes whose biological responses (gene expression, protein production) serve as detection signals. This substitution enables detection of a broader range of stressors including those undetectable by conventional means.
2Adaptability or versatility
If genetically modified microbe sensors are deployed to detect multiple stressors, then stressor detection capability improves, but the complexity of signal interpretation and system management increases
Solution Approach 1:
The patent creates a universal detection platform where genetically modified microbes serve multiple functions: detecting different stressors, producing detectable signals, and enabling various types of stressor identification. The system can detect biotic stressors (pests, diseases), abiotic stressors (pollutants, environmental conditions), and nutrient deficiencies using the same basic microbial sensing platform, thereby achieving versatility without proportionally increasing system complexity.
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
Enables the detection and prediction of a wide range of stressors, including pollutants and environmental conditions, allowing for timely and targeted mitigation strategies to enhance plant health and growth.
Implementation Method 1
a microbe sensor population modified to include a set of microbe promoter-reporter pairs configured to signal pressures of a set of stressors
Data Source
AI summary
One variation of a method includes accessing an image of a plant canopy in an environment inhabited by: a population of microbe sensors of a microbe type including a microbe promoter-reporter pair configured to generate microbe-reporter signals representing presence of a stressor in the environment; and a set of sensor plants of a sensor plant type including a plant promoter-reporter pair configured to signal presence of microbe-reporter signals at the set of sensor plants. The method further includes: accessing a reporter model linking features extracted from images of sensor plants of the sensor plant type to pressures of the set of stressors based on plant-reporter signals generated by the plant promoter-reporter pair and microbe types of microbe sensors inhabiting the environment; and interpreting a pressure of the stressor in the environment based on the reporter model, the microbe type, and features extracted from the image.