More Phenotyping Use Cases :
Fungus Disease Quantification Percentage of the plant infected with the fungus disease. Case study →
Sum Row Length This trait represents the sum of all row length measured between the first and last plant detected in each row per plot. It is based on the plant count results. Case study →
Min Row Length This trait represents the minimum row length measured between the first and last plant detected in each row per plot. It is based on the plant count results. Case study →
Mean Row Length This trait represents the average row length measured between the first and last plant detected in each row per plot. It is based on the plant count results. Case study →
Max Row Length This trait represents the maximum row length measured between the first and last plant detected in each row per plot. It is based on the plant count results. Case study →
Plot Quality Score This trait is derived from plot quality and uses score from 1 (best) to 9 (worst) instead of percentage. Case study →
Plot Quality This trait represents the percentage of the plot with plant. Emergence issue or dead plants are well summarized by plot quality. You can use it as an Harvestable area to correct a yield measurement or to assess a deficiency after or before winter. Case study →
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. Case study →
Plant Gaps Percentage The gap percentage is the ratio of the gap distance on the row length, or in the case of several rows, the sum of rows’ length. A gap is defined as the distance between two plants where the plants have not emerged. Case study →
Plant Gaps Distance The gap distance is the sum of gap length on one microplot. A gap is defined as the distance between two plants where the plants have not emerged. Case study →