Resonant Plant Response Sensing for Precision Spraying Control
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Solution Overview
Problem
Traditional agricultural machines face challenges in accurately distinguishing between weeds and crops, especially when plants have similar colors or damaged leaves, due to limitations in optical imaging sensors that are affected by lighting and occlusions, leading to inadequate control over spraying and harvesting operations.
Innovation Solution
An agricultural machine equipped with a vibration stimulation source and sensor system that generates signals based on electromagnetic radiation and resonant vibration responses, combining shape, color, and vibration data to enhance plant characterization and control actions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If optical imaging sensors are used to detect plant characteristics, then the system structure remains simple, but the measurement precision deteriorates under challenging conditions such as similar colors, damaged leaves, lighting variations, and occlusions
Solution Approach 1:
The patent combines multiple sensing modalities (optical imaging sensors, acoustic sensors, vibration sensors) into an integrated sensor system. This merging allows the system to capture both visual characteristics and mechanical response properties of plants, enabling more accurate differentiation between weeds and crops by analyzing multiple attributes simultaneously rather than relying on optical data alone.
Solution Approach 2:
The patent transitions from two-dimensional optical imaging to three-dimensional characterization by incorporating vibration analysis. When plants are stimulated mechanically, their resonance responses provide information about mass distribution, structural integrity, and physical properties that are not visible in optical images. This adds a temporal and mechanical dimension to plant characterization, enabling detection of subtle differences in plant health and species identification.
2Reliability
If only optical imaging sensors are used, then the device complexity remains low, but the reliability of weed and crop differentiation deteriorates when plants have similar appearance or damaged foliage
Solution Approach 1:
The patent applies mechanical vibration stimulation to plants and measures their resonance responses. Different plant species, health states, and structural conditions produce distinct vibration signatures. By analyzing frequency, amplitude, and damping characteristics of plant vibrations, the system can reliably distinguish between weeds and crops even when they appear similar visually or when leaves are damaged, providing a robust mechanical fingerprint for plant identification.
Solution Approach 2:
The patent introduces mechanical vibration as an intermediary stimulus to reveal plant characteristics that are not apparent through optical sensing alone. The vibration acts as a mediator that interacts with plant structure, and the resulting resonance response serves as an intermediate measurement that bridges the gap between visual appearance and internal plant properties, enabling more reliable differentiation.
3Manufacturing precision
If optical imaging sensors are used for plant detection, then the system remains simple, but the control precision for spraying and harvesting operations deteriorates due to inadequate plant characterization
Solution Approach 1:
The patent implements a feedback control system where sensor data (optical and vibration) continuously informs spraying and harvesting operations. The system measures plant characteristics in real-time, compares them against target criteria, and automatically adjusts operational parameters such as spray timing, location, and intensity. This closed-loop feedback ensures precise chemical application only when and where needed, optimizing resource usage and minimizing environmental impact.
Solution Approach 2:
The patent utilizes changes in vibration parameters (frequency, amplitude, phase) in response to mechanical stimulation to characterize plant properties. By analyzing how vibration parameters change across different plant species and conditions, the system derives actionable insights for controlling agricultural operations, such as determining optimal harvest timing or identifying plants requiring targeted chemical treatment.
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 improves the precision of plant characterization, enabling accurate differentiation between weeds and crops, even under challenging conditions, and optimizes agricultural operations such as spraying and harvesting by providing precise chemical application and location control.
Implementation Method 1
a sensor system configured to sense electromagnetic radiation reflected from the plant matter, generate a first signal based on the sensed electromagnetic radiation indicative of at least one of a shape, a location or a color of the plant matter, and generate a second signal indicative of a resonant vibration response of the plant matter
Data Source
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AI summary
An agricultural machine includes a vibration stimulation source (160) configured to generate a vibration stimulation signal directed toward plant matter (104) and a sensor system (106) configured to sense electromagnetic radiation reflected from the plant matter (104), generate a first signal based on the sensed electromagnetic radiation, and generate a second signal indicative of a resonant vibration response of the plant matter (104), that is in response to the vibration stimulation signal. The agricultural machine includes a plant evaluation system (108) configured to, based on the first and second signals, generate plant (310) characterization data indicative of one or more physical characteristics (448) of the plant matter (104), and a control system configured to generate an action signal based on the plant (310) characterization data.