Sensor-Guided Plant Lighting Control for Early Stress Detection
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Solution Overview
Problem
Current controlled lighting systems for plants struggle to determine optimal light conditions for growth, particularly in greenhouses, as they rely on external appearances which can be misleading, leading to delayed detection of stress and suboptimal light quality, affecting crop health and economic returns.
Innovation Solution
A smart lighting system that uses sensors to detect radiation reflected from plants and environmental conditions, coupled with a controller that adjusts irradiation settings based on predetermined optimal settings for various conditions, incorporating visible, infrared, and ultraviolet radiation sources to optimize light exposure for desired plant characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If external appearance monitoring is used to determine plant growth conditions, then the system is simple to operate, but the detection precision is low leading to delayed stress detection
Solution Approach 1:
The patent introduces sensors as intermediary devices that indirectly measure plant physiological status through environmental parameters (light, temperature, humidity, CO2) rather than directly observing external appearance. This mediator approach enables precise detection of stress conditions before they become visually apparent, resolving the contradiction between detection precision and system simplicity.
Solution Approach 2:
The patent replaces manual visual inspection (mechanical observation) with automated sensor-based detection systems. This substitution enables continuous, objective monitoring of plant conditions with high precision, eliminating the limitations of human visual assessment while maintaining operational simplicity through automation.
2Productivity
If empirical climate control is used to optimize plant growth, then the control method is simple to implement, but the productivity is suboptimal
Solution Approach 1:
The patent implements feedback control by continuously monitoring environmental parameters and plant physiological status, then automatically adjusting climate control settings (lighting, irrigation, temperature) to optimize growth conditions. This closed-loop system maximizes crop productivity by dynamically adapting to changing conditions, overcoming the limitations of static empirical methods.
Solution Approach 2:
The patent transitions from static empirical control to dynamic adaptive control, where system parameters are continuously adjusted based on real-time sensor data. This dynamic approach enables the control system to respond to changing environmental conditions and plant needs, significantly improving productivity compared to fixed empirical protocols.
3Productivity
If light quality and intensity are not optimized, then the lighting system is simple to operate, but the plant growth efficiency is reduced
Solution Approach 1:
The patent systematically optimizes lighting parameters (intensity, wavelength, duration) based on plant physiological needs and environmental conditions. By dynamically adjusting these parameters rather than using fixed settings, the system maximizes photosynthesis efficiency and plant growth while the automated control maintains ease of operation.
4Reliability
If stress detection is delayed until physical appearance changes, then the monitoring system is simple, but the reliability of crop recovery is low
Solution Approach 1:
The patent implements preliminary detection of plant stress conditions by monitoring environmental parameters and physiological indicators before visible symptoms appear. This early warning system enables timely intervention to prevent irreversible damage, significantly improving crop recovery reliability while the automated monitoring maintains practical complexity levels.
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 system ensures precise control of light exposure, improving plant growth by adjusting intensity, wavelength, and duration, leading to enhanced production of flavonoids and antioxidants while preventing damage to plant cells, thus optimizing crop health and yield.
Implementation Method 1
sensors to detect radiation reflected from the plant
Implementation Method 2
incorporating visible, infrared, and ultraviolet radiation sources to optimize light exposure
Data Source
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AI summary
An approach for controlling light exposure of a light sensitive object is described. Aspects of this approach involve using a first set of radiation sources to irradiate the object with visible radiation and infrared radiation. A second set of radiation sources spot irradiate the object in a set of locations with a target ultraviolet radiation having a range of wavelengths. Radiation sensors detect radiation reflected from the object and environment condition sensors detect conditions of the environment in which the object is located during irradiation. A controller controls irradiation of the light sensitive object by the first and second set of radiation sources according to predetermined optimal irradiation settings specified for various environmental conditions. In addition, the controller adjusts irradiation settings of the first and second set of radiation sources as a function of measurements obtained by the various sensors.