• Time lapse frameshot

  • GPS for experimental equipment

  • Vineyard monitoring

  • Irrigation system survey

  • Thermal imaging for stress detection

Plot Quality Report & Plant count

In the experimentation world an estimate derived from a mathematical regression model is not always acceptable; this resulted in drafting a dynamic working protocol that allows us to adapt the counting algorithm basing on single cases: physical characteristics of the plant (colour, size, height), field structure, plot sowing scheme.

  • Foliar development: through an image-guided segmentation algorithm we can estimate foliar development; these are estimates because the foliar insertion angle is not considered
  • Plant counting: through a set of high-resolution photographs and an image-guided classification process we provide counts of a given surface with an error margin of 3% covering both false positives and negatives;
  • Plant height: other than with a 3D surface model and a soil model, the exact height mode within a given plot can be calculated
  • Plot Quality Report: a mix of the three aforementioned assessment methods complemented by a verification process performed by an operator to remove false positives or integrate false negatives; it allows us to create a detailed, objective and verifiable report relating to the collected informationa

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