Products
High-Throughput Plant Phenotyping Imaging Analysis System
The Jiupo High-Throughput Plant Phenotyping Imaging Analysis System integrates multiple imaging modules, including hyperspectral imaging, 2D visible-light imaging, infrared thermal imaging, 3D imaging, and chlorophyll fluorescence imaging.
Combined with an automated transport rail system and advanced data processing and management units, the system enables large-scale acquisition, analysis, and storage of plant phenotypic data from high-volume plant samples.
The system is widely used in crop breeding screening, stress physiology research, early disease and pest diagnosis, and precision agriculture management in greenhouse and laboratory environments.
Product Advantages
Hyperspectral Imaging
Provides a wide range of plant physiological and biochemical parameters, including major vegetation indices (NDVI, Anthocyanin Reflectance Index (ARI), Chlorophyll Index (CI), Plant Senescence Reflectance Index (PSRI), and more than 20 commonly used vegetation indices), as well as chlorophyll content, water content, nitrogen status, carotenoid content, and other related parameters.
Applications include crop health monitoring (such as early disease and pest detection, drought stress assessment, and nitrogen/phosphorus/potassium deficiency analysis), internal quality evaluation of crop seeds, yield prediction, and other agricultural research applications.
2D Visible-Light Imaging
Provides comprehensive phenotypic traits, including:
- Morphological parameters: plant height, canopy width, leaf number, stem height/diameter, leaf inclination angle, projected area, contour perimeter, convex hull area, minimum enclosing circle, and more.
- Color parameters: vegetation indices, CIELAB color values, and other color-related traits.
- Texture parameters: correlation, contrast, entropy, and other image texture features.
Widely applied in plant species identification, plant counting, biomass estimation models based on measured parameters and phenotypic traits, and evaluation of plant stress tolerance.
Infrared Thermal Imaging
Captures plant canopy temperature information and temperature distribution patterns for analyzing physiological traits such as leaf transpiration and temperature variations in diseased tissues.
Widely applied in plant stress physiology research and environmental response studies.
Lettuce – Infrared Thermal Imaging Example (Thermal-RGB Fusion)
Infrared Thermal Imaging Example
3D Visible-Light Imaging
Generates three-dimensional plant models and provides structural parameters, including:
- 3D model reconstruction
- Canopy width
- 3D convex hull volume
- Bounding box volume
- Compactness
Used for plant architecture analysis, providing detailed structural information such as leaf arrangement, plant volume, and spatial distribution.
3D Visible-Light Imaging Example (Left: Rice; Right: Maize)
Chlorophyll Fluorescence Imaging
Provides chlorophyll fluorescence images and key fluorescence parameters, including:
Fo, Fm, Fi, Fm′, Fi′, Fs′, Fv/Fm, PSII, ETR, NPQ, and other related indicators.
Widely used in research fields including photosynthesis analysis, plant stress physiology, and functional plant phenotyping.
Product Advantages
High-Throughput Batch Data Acquisition
The automated rail-based platform enables rapid scanning of large-scale plant samples, allowing batch acquisition of plant phenotypic data and significantly improving the efficiency of breeding selection and phenotypic analysis.
Precise Dynamic Monitoring
The automated transport rail system provides millimeter-level positioning accuracy and supports repeated imaging of the same area. It enables continuous tracking of plant growth cycles and responses to environmental stresses, making it suitable for various application scenarios including greenhouses and field environments.
Multi-Dimensional Data Fusion
Integrates multiple imaging modalities, including 2D imaging, 3D imaging, hyperspectral imaging, and chlorophyll fluorescence imaging, to comprehensively analyze plant phenotypes from multiple dimensions, including spectral characteristics and morphological structures.
Automated Intelligent Control
Integrates an automated control module for intelligent management of plant transportation, image acquisition, and data analysis. The system supports real-time data viewing, automatic data storage, and one-click export of graphical reports.