研究目的
To design and develop a low-cost, portable camera for plant phenotype studies, capable of capturing high-quality macro images of plant sections for statistical analysis.
研究成果
The RPi Macro Camera (RMC) prototype demonstrated the capability to capture good-quality images of plant sections for statistical analysis, showing promise for use in plant phenotype studies with further improvements.
研究不足
The study acknowledges the need for modest improvements and further development of image processing algorithms to enhance the utility of RMC for a broader range of plant phenotype studies.
1：Experimental Design and Method Selection:
The study involved the development of a prototype camera (RMC) using Raspberry Pi and adjustable CMOS camera modules for capturing macro images of plant sections.
2：Sample Selection and Data Sources:
Wheat straw sections at different growth stages were dyed with safranin O-fast green and used as samples.
3：List of Experimental Equipment and Materials:
Raspberry Pi 3 model B V
4：2, RPi Camera (B) Rev 0, 5inch HDMI LCD (B) Rev 1, RPi PowerPack VExperimental Procedures and Operational Workflow:
The prototype camera was used to photograph dyed wheat straw sections under conventional conditions. Images were processed using MATLAB for statistical analysis on red and green intensity.
5：Data Analysis Methods:
Image segmentation and color calibration were performed using MATLAB scripts to evaluate the quality of images captured by RMC.
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