PlantEye – 3D & Multispectral “Camera to Plant” laser scanners
The PlantEye is a unique 3D laser scanner which fuses the 3D data with multispectral information. It is developed specifically for the needs of plant scientists, breeders and farming automation.
The sensor computes a wide range of plant parameters in real time. These parameters describe the shape and the physiological status of plants, like the digital biomass, leaf area, height or plant health (NDVI and more).
PlantEye is developed with the “Camera to plant” principle. Therefore it is designed to be waterproof, temperature controlled and to function independent of environmental light. This enables it to deliver the same reliable data in the lab, greenhouse and even in the harshest field conditions.
The PlantEye’s are delivered by the Dutch company Phenospex and will be mounted to the SMO Gantries.
3D Plant Model is generated to calculate plant Parameters
A 3D model of your plant, tray, plot or even entire field is generated by PlantEye. The plant model is built out of points called a 3D point cloud and stored as an open-source .ply file.
Every point contains the following information:
- Color value in Red, Green, Blue, Near-Infrared and the laser(940nm)
- NDVI value
The 3D model is stored, raw data and computed plant parameters are available as open source files. 14+ plant parameters are calculated from these 3D models.
The spectral information from the 3D models is used to calculate different spectral indices like NDVI (visualized in the example below) or PSRI. These plant parameters are related to plant health. It quantifies healthy and unhealthy foliage of the plants.
What plant parameters are calculated?
14+ parameters are calculated from the 3D files. Visualize plant growth with a wide variety of morphological parameters such as:
- Digital biomass
- Plant height
- Plant height max
- 3D leaf area
- Projected leaf area
- Leaf inclination
- Leaf area index
- Leaf Angle
- Light penetration depth
PlantEye measures the spectral reflectance of part of the plant. Specific spectral ranges can be quantified with a binning system and each bin is an additional parameter. Each wavelength can be statistically analyzed individually to calculate and quantify:
- RGB Color
- NIR Color
Wavelengths can be combined into the following spectral indices:
- Normalized Digital Vegetation Index (NDVI)
- Normalized Pigments Chlorophyll ratio index (NPCI)
- Plant Senescence Reflectance Index (PSRI)
Studies show that the applications below can be derived from, or correlated with, one or several of the plant parameters.
- Disease quantification
- Plant healthiness
- Plant senescence
- Chlorophyll levels
- Carotenoid content
Analyze & Visualize data with HortControl
- Set up and control experiments
- Immediate data analysis, no data preparation
- Visualize, aggregate, group and export data
- Automated reports e.g. germination report or growth report
- Correlate sensor data with manual data or third-party data
- Create machine learning prediction models with sensor and training data. The prediction matches the trait of interest and is directly usable as a new plant parameter in other experiments.
Growth dynamics of tomato plants (height in mm) visualized over time. The high scan interval reveals the diurnal rhythm of the plants.