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.
Green Cover
Green Cover: This trait refers to the surface of green pixels within the plot. It is expressed as a percentage of vegetation pixels divided by all plot pixels. It is a good proxy of the vegetation development and the capacity of the plant to make photosynthesis. Green Cover can be influenced by weeds or strong...
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Plant Maturity
Days To Maturity: Number of days between sowing date and maturity date. Maturity Date: Day of year at which the plot reached maturity, which corresponds to the peak of senescence at which the plot is ready for harvest. Maturity Class: The trait provides a classification of the plot with regards to the maturity result: short,...
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PRI
The Photochemical Reflectance Index is a measure of the light-use efficiency of foliage based on the reflectance of two Green bands. It is primarily used as an indicator of water stress and for the assessment of carbon-dioxide uptake by plants. It is computed as follows: PRI = (ρ570-ρ530) / (ρ570+ρ530)
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Simple Ratio
Simple Ratio is indeed the simplest vegetation index calculated by dividing reflectance recorded in the Near Infra-Red (NIR) by that recorded in Red bands. Hence, SR = ρ850 / ρ675. It is a quick way to distinguish green leaves from other objects in the scene and estimate the relative biomass present in the image. Also,...
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Canopy Chlorophyll Content
This trait provides an estimation of the chlorophyll content at canopy level. It is calculated by multiplying the LAI (Leaf Area Index) and the Leaf Cholorophyll Content. If the canopy chlorophyll content is high, the leaf contains more chlorophyll and has a potential for higher yield. This trait is generated by inverting the radiative transfer...
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Average Leaf Angle
This trait provides an estimation of the average leaf angle inclination of your crops. A high ALA indicates that the portion of the leaf area receiving energy is low, which could explain a low vegetative growth. This trait is generated by inverting the radiative transfer model PROSAIL.
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Plant Lodging
This trait indicates the probability that a plot has been affected by lodging. Lodging is the phenomenon by which the plant bends over the stems near ground level, which can have a dramatic impact on the yield. This trait is computed based on the plant height results through time.
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Plant Height
Max Plant Height: This trait refers to the max height recorded within the plot. It is computed using a 3D point cloud of the microplot and maximum is defined as the 99% percentile of the height of each point among plot point cloud. On request, we can compute Max Plant height only on a sub...
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Flower Fraction Heterogeneity
This trait refers to the heterogeneity measured from Flower Fraction. The plot studied is first sliced into ~30cm patches, the trait is processed per slice and we compute a coefficient of variation (standard deviation among slices divided by mean value of the plot)
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Plant Cover
Plant cover refers to the surface of plant pixels within the plot, including green pixels and yellow/brown pixels that might be related to senescence or disease symptoms. It is expressed as a percentage of all plot pixels. It is a good proxy of the vegetation development and the capacity of the plant to cover the...
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