A Decade Of Expertise In Digital Phenotyping To Support Your Research Endeavors
Our image analysis pipeline ingests images from drones, ground based imaging systems, satellites and uses well-vetted algorithms and AI-powered deep learning modules to calculate an ever growing range of traits as we are always pushing the boundaries of plant phenotyping. Discover below our plant phenotyping portfolio of uses cases to dive deeper into Hiphen's crop assessment expertise. Also, as we have high R&D capabilities, we can develop and provide new traits upon request for your specific application.
This trait is defined as the Red-Edge Chlorophyll Index. The chlorophyll index is used to...
Greenness (excess green): This trait refers to the intensity of green within the vegetation mask...
Senescence is defined as the percentage of plants that remain green. This trait is robust...
This trait represents the minimum row length measured between the first and last plant detected...
LAI represents the maximum projected leaf area per unit of ground surface area. It is...
This trait indicates the probability that a plot has been affected by lodging. Lodging is...
The Green Chlorophyll Index is used to calculate the total chlorophyll content of the leaves....
The Normalized Difference Vegetation Index is one of the most commonly used indices for monitoring...
QPAR represents the accumulated quantity of PAR (Photosynthetically Active Radiation) intercepted by the plants during...
Max Plant Height Heterogeneity: This trait refers to the heterogeneity measured from the max plant...
This trait represents the maximum row length measured between the first and last plant detected...