Crop Light Control via Chlorophyll Fluorescence Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current automatic supplemental lighting systems in agriculture rely solely on external light intensity, failing to consider internal crop factors, which limits the accuracy and efficiency of light adjustment for optimal crop growth.
Innovation Solution
An intelligent light adjusting system comprising a parameter measurement device, a processing device, and a light source control unit that measures specific parameters like chlorophyll fluorescence to adjust the light source assembly's luminance, ensuring optimal lighting conditions based on the crop's growth state.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If external light intensity is used as the standard for supplemental lighting, then the design is simple and parameter adjustment is easy, but the growth state of crops cannot be analyzed based on internal factors of the crops
Solution Approach 1:
The system introduces feedback by measuring chlorophyll fluorescence parameters from crops and using this information to adjust supplemental lighting. The parameter measurement device detects internal crop physiological states, and the light source control device adjusts lighting based on this feedback, creating a closed-loop control system that resolves the contradiction between simple external light-based control and accurate internal crop state analysis
Solution Approach 2:
Chlorophyll fluorescence parameters serve as an intermediary that bridges external lighting conditions and internal crop growth state. Instead of directly measuring complex internal crop parameters, the system uses fluorescence emission as a measurable intermediary that reflects photosynthetic efficiency and crop health, enabling accurate growth state analysis while maintaining system simplicity
2Measurement precision
If chlorophyll fluorescence parameters are measured to adjust lighting, then the accuracy of light adjustment is improved, but the device complexity increases
Solution Approach 1:
The system replaces complex mechanical or invasive measurement methods with optical detection. By using a parameter measurement device that detects chlorophyll fluorescence through non-contact optical means, the system achieves accurate crop physiological state measurement without complex mechanical structures or invasive procedures, thus improving measurement precision while limiting the increase in device complexity
Solution Approach 2:
The system changes the measurement parameter from direct physical crop inspection to optical fluorescence parameter detection. By measuring chlorophyll fluorescence intensity and characteristics, the system transforms the measurement approach to a parameter that is both highly informative about crop state and amenable to simple optical detection, resolving the contradiction between measurement accuracy and 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
This system improves the accuracy and efficiency of light adjustment, reflecting photosynthetic efficiency and facilitating better crop growth by dynamically adjusting light conditions according to the crop's growth situation.
Implementation Method 1
The photosensitive element is for sensing light, converting the sensed light into a valid optical signal and transmitting the valid optical signal to the sensor element; the sensing element is for converting the valid optical signal into an electrical signal
Implementation Method 2
the signal conditioning and converting circuit is for amplifying a valid signal in the electrical signal and filtering out an invalid noise signal from the electrical signal
Implementation Method 3
the reflective cup is for converging the lights of the test light sources to improve light utilization efficiency
Implementation Method 4
the pulse width modulation unit is for outputting a current to adjust luminance of the light source assembly
Implementation Method 5
the light source assembly may include multiple light emitting diodes (LEDs)
Implementation Method 6
a long wavelength cut-off filter is arranged between the light source providing measuring radiation and the reflective cup; a short wavelength cut-off filter is arranged between the leaves for testing of the crops and the photoelectric detector
Data Source
AI summary
An intelligent light adjusting system and method thereof in a crop growth process are provided. The intelligent light adjusting system includes a parameter measurement device, a parameter processing device, a light source control device and a light source assembly. The parameter measurement device is for measuring a specified parameter in the crop growth process. The parameter processing device is for acquiring a light source parameter of the light source control device, based on the specified parameter. The light source control device is for controlling lighting of the light source assembly, based on the light source parameter.