Author Archives: cropsignalnews

A new “Options” Menu button has been added to the location filter dropdown on most Topics, replacing the Hide L2/L3 toggle, which have now been moved into the Options menu dropdown.  The Selected Location Map action has also been moved … Continue reading →

GDA has added specially filtered crop-and-location-specific NDVI data to the Seasonal Analysis topic along with NDVI forecasts for the remainder of the current year.  Initially, the locations and crops that this data is provided for is as follows: Argentina L3 … Continue reading →

The CropSignal Tutorial PDF file has been updated to reflect the recent feature changes to CropSignal (especially Pivot Widgets and their controls).  You can download the PDF under the Help link.

The Monthly Crop Stats topic is now available.  It is similar to the Annual Crop Stats topic except it provides statistics that are monthly.  Such crops include oil palm, tea, cocoa, and coffee and available sources include Stat Canada, Indonesia … Continue reading →

New statistics from the State Statistics Service of Ukraine are now available in the Annual Crop Stats topic!

When generating widgets within any topic, new widgets are prepended to any existing widgets in the topics results windows.  Previously, any existing widgets were deleted and replaced with the new ones.  You can still delete one or all of the … Continue reading →

In the weather topic, you can now see crop-specific growing degree day (GDD) calculations for US States, Districts and Counties for some major crops.  There is a new crop dropdown where any crops that have this data available for it.  … Continue reading →

New reports from EMATER for Rio Grande do Sul, Brazil have been added to the Reports topic.

You can now set specific unit system customizations to each widget on your dashboard.  You can choose between Metric and US Customary systems (and post widgets of different types on the same dashboard) and also choose the scaling method for … Continue reading →

We’ve added a new mapping help feature in relevant Topics so you can see the spatial coverage of statistics by data source.  For example, if you’re not sure if a data source only covers one country, or multiple countries, you … Continue reading →