High-throughput Plant Phenotyping System——PhenoWatch

The PhenoWatch high-throughput plant phenotype analysis system deeply integrates multiple measurement units such as lidar, RGB imaging, multispectral imaging, infrared thermal imaging, hyperspectral imaging, etc., to generate three-dimensional images with multi-spectral information, and to perform single group planting. Plant identification, separation of stems and leaves of individual plants, accurate acquisition of phenotypic parameters such as plant height, plant width, leaf length, leaf width, leaf inclination, and leaf area, and calculation and analysis of spectral characteristics and vegetation index. Analysis, crop temperature and drought research, crop condition analysis, category identification, pest monitoring, water and fertilizer status monitoring, biochemical parameter detection and other analysis.

  Phenotypic parameters for population  

• DEM: Digital elevation model, the digital expression of terrain surface form.

• DSM: Digital surface model, a ground elevation model that includes the heights of surface buildings, bridges, and vegetation.

• CHM: Canopy height model, subtracting the digital elevation model from the digital surface model

• Canopy Cover: The vertical projection of crops as a percentage of the field.

• Transmittance: It can reflect the light transmittance of the crop canopy from top to bottom, and understand the structural details of the canopy of light and ventilation.

• 3D point cloud vegetation index: 3D NDVI、3D TVI、3D RVI、3D DVI

• 2D vegetation index: 2D NDVI、2D TVI、2D RVI、2D DVI

• Vegetation index statistics: statistics of multi-spectral vegetation index, such as mean, maximum, minimum, etc.

• Greenness: custom threshold, reflecting the greenness of plants

• Infrared thermal imaging analysis: image pixel temperature, plant canopy temperature (with thermal infrared imaging unit)

  Phenotypic parameters for individuals  

  Applications  

Lidar measurement results of maize

Identification of single corn in a group 

Identification and measurement of individual leaves of plants

False color distribution of corn plant height

Two-dimensional imaging and data display of crop vegetation index

Crop canopy coverage distribution imaging

Three-dimensional pseudo-color view of crop vegetation index