In order to better protect the privacy of our customers’ data, we made improvements to our integration with Climate FieldView. Growers are now able to more easily determine which fields’ data to share with Climate Fieldview and update that list on a continuous basis if necessary.
Users can simply choose to connect with ClimateFieldView on the user settings page and a fields selection window will open to choose the fields they would like to sync with FieldView.
Once chosen, users are then redirected to the Climate FieldView login page to complete the process. At any given time, users are able to update the selected fields by editing the connection on the user settings page.
In order to enable better prioritization within a field that is experiencing insect damage, we changed the insect defoliation severity thresholds we present and use to create the heatmap by. In addition to that, we have changed the coloring of the insight thresholds to be consistent with other insights.
In order to better reflect the changes in NDVI field average, we changed the field NDVI data we are presenting in the field health insight from being the latest layer’s average NDVI to be the difference between the two compared layers.
In order to better present all the insights, SmartScout and Field Health, we have aggregated the Field Health insights under a single floating-point, so that the other insights would be visible more easily.
When clicking to select a specific Field Health insight the user will be presented with the insight date and the percentage of anomaly area in the field, so she could prioritize what insight to look at first.
In our effort to further increase the speed, accuracy, and consistency of our leaf-level insights, we have upgraded our artificial intelligence infrastructure. We have added a separate simulation environment that enables us to test different AI algorithms more quickly and efficiently and identify the optimal AI algorithms for our different SmartScout Insights; all this, without impacting the service/product that our customers currently are enjoying.
In our effort to reduce our maintenance efforts, we constantly improve our processes and try to make them as automatic as possible. It reduces the SLA to the customer and prevents human errors.
This time we invested in automating the canceling of Planet subscription, from a 30 minutes manual and error-prone process to a straightforward, one-step easy process
We have added translations to the Myfields CSV export file: the column titles will appear in the language configured for the user (English, Spanish, Portuguese, Russian, Ukrainian)
In order to provide a quicker indication of the insight severity, we will present the insight scores on the field’s list of insights