Crop Canopy Chlorophyll Fluorescence 3D Visualization
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Solution Overview
Problem
Current methods for chlorophyll fluorescence analysis can only obtain two-dimensional data and fail to characterize the three-dimensional distribution of chlorophyll fluorescence in crop canopies, limiting the visualization and study of plant health.
Innovation Solution
A method and device that use a 3D camera to obtain depth and color images of laser dots, calibrate spatial coordinates, and generate point clouds to visualize chlorophyll fluorescence information in three dimensions, overcoming the limitations of two-dimensional data by establishing relationships between spatial coordinates and the aperture center of the chlorophyll fluorescence sensor.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If 2D chlorophyll fluorescence imaging is used, then the measurement process is simple and fast, but the three-dimensional distribution information of crop canopy cannot be obtained
Solution Approach 1:
The patent transforms 2D chlorophyll fluorescence imaging into 3D visualization by integrating depth information from a 3D camera with 2D fluorescence intensity data. The system captures depth maps and color images simultaneously, then fuses these with fluorescence images to reconstruct three-dimensional canopy structure and chlorophyll fluorescence distribution, adding the spatial dimension to the original 2D measurements.
2Loss of information
If 3D reconstruction method is used to obtain three-dimensional chlorophyll fluorescence image, then three-dimensional visualization is achieved, but the method cannot characterize the three-dimensional distribution of crop canopy
Solution Approach 1:
The patent introduces a background plate with laser dots as an intermediary calibration target. This plate serves as a common reference for both the 3D camera and fluorescence camera, enabling precise coordinate transformation between the two coordinate systems. The laser dots provide known spatial positions that facilitate the calculation of transformation matrices, acting as a bridge to align the depth information with fluorescence measurements.
Solution Approach 2:
The background plate with laser dots serves multiple functions: it acts as a calibration target for 3D camera intrinsic parameters, provides reference points for coordinate system transformation, and enables the alignment of fluorescence images with depth maps. This multi-functional component simplifies the overall system by consolidating several calibration and alignment functions into a single device.
3Measurement precision
If CropObserver device is used, then real-time chlorophyll fluorescence detection is achieved, but only two-dimensional data array is acquired without spatial localization
Solution Approach 1:
The patent merges the 3D camera system with the CropObserver fluorescence detection device. The depth information from the 3D camera is combined with the fluorescence intensity data from CropObserver, creating a unified dataset that contains both spatial coordinates and chlorophyll fluorescence measurements. This integration allows the system to maintain real-time detection capability while adding three-dimensional spatial localization.
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 enables the realization of three-dimensional visual distribution of chlorophyll fluorescence information across the crop canopy, providing comprehensive data on chlorophyll fluorescence distribution and addressing the incompleteness of two-dimensional representations.
Implementation Method 1
respectively obtaining depth images and mapped color images of laser dots emitted by a fluorescence-induced laser emitter on a background plate before and after raising by using a 3D camera
Implementation Method 2
a fluorescence-induced laser emitter on a background plate
Data Source
AI summary
A method and a device for crop canopy chlorophyll fluorescence three-dimensional distribution information acquisition are provided. The device includes a Cropobserver canopy chlorophyll fluorescence detection device, a 3D camera and a computer system. The 3D camera is connected to the computer system, Visual studio 2017 and MATLAB 2018 are run in the computer system, and the Visual studio 2017 calls a point cloud library and a computer vision library to realize three-dimensional visualization of chlorophyll fluorescence information of crops to be tested. By means of the new method and the new device, the problem of incompleteness of the two-dimensional chlorophyll fluorescence information distribution acquired is solved, overall 3D visual distribution of crop canopy chlorophyll fluorescence distribution is realized, and important technical support is provided for acquisition and research of three-dimensional visual distribution information of chlorophyll fluorescence of the whole crop canopy.