Proximal vs. Remote Sensing
Proximal sensing involves measuring the characteristics of soil, vine canopy reflectance, or fruit using vehicle-mounted sensors pointed directly at the area of interest. Remote sensing captures information of large areas instantaneously, but the level of detail depends on resolution or the area covered.
As a grower looking to assess vegetative growth, proximal sensors provide a lot of information due to their positioning to only include the area of interest. Remote sensing of vegetative growth requires masking of inter-row space to allow for accurate data. The Efficient Vineyard project has primarily utilized proximal sensors in tandem with regular vineyard operations.
Random vs. Stratified Sampling
The Efficient Vineyard project not only requires sensing in vineyards, but it also requires validation of the spatial data collected by those sensors through manual sampling. This applies to every sensor from soil and canopy to crop size and Brix. Without spatial data from GPS, sampling must be done randomly or on a grid, which may not capture the variation in a vineyard. Variation may be seen better when stratified sampling is done. Stratified sampling is possible with spatial data and with samples that are selected to capture the spectrum of data within a vineyard.
For more information, check out this blog: Pretty Picture or Valuable Management Tool?