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 Cover calculation. The plot studied...
This trait represents the average row length measured between the first and last plant detected...
This trait represents the percentage of the plot with plant. Emergence issue or dead plants...
Senescence is defined as the percentage of plants that remain green. This trait is robust...
The Photochemical Reflectance Index is a measure of the light-use efficiency of foliage based on...
This trait evaluates the chlorophyll content at leaf level. A high Cab value indicates that...
This trait represents the minimum row length measured between the first and last plant detected...