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 refers to the heterogeneity measured from the plant count. The plot studied is...
This trait represents the maximum row length measured between the first and last plant detected...
Plant cover refers to the surface of plant pixels within the plot, including green pixels...
This trait is defined as the Red-Edge Chlorophyll Index. The chlorophyll index is used to...
Flower cover area refers to the surface of flower pixels within the plot, expressed in...
This trait refers to the heterogeneity measured from Flower Fraction. The plot studied is first...
This trait represents the sum of all row length measured between the first and last...
Senescence is defined as the percentage of plants that remain green. This trait is robust...
Max Plant Height Heterogeneity: This trait refers to the heterogeneity measured from the max plant...
This trait evaluates the chlorophyll content at leaf level. A high Cab value indicates that...
This trait refers to the heterogeneity measured from the Green Cover calculation. The plot studied...
Green Cover: This trait refers to the surface of green pixels within the plot. It...
This trait provides an estimation of the chlorophyll content at canopy level. It is calculated...
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