You can install the add-in for free at profit.ag/esri. Click the download button, open the file, and select "Install Add-In." The Add-In will automatically be installed in ArcGIS Pro the next time you open the program.

The Esri ArcGIS Add-In Installation Utility will automatically install the tool

You can create an Ag-Analytics account by navigating to the "Sign In" button on the Add-in toolbar. Simply enter your information in the pop up window to create your account.

There are several options for integrating your precision ag data. After signing up through the add-in toolbar, you will be prompted to integrate your data, and can finish the process within the add-in.

Integrating after signing up within ArcGIS Pro

To integrate your precision ag account our our website, select "Integrate Data" on the Ag-Analytics toolbar, launching a website window where you can integrate.

You can also directly visit profit.ag/integrate to get to this webpage.

Agree to the terms of use, and select "Integrate Now" for your precision ag platform. Then, log in with your account.

Once integrated, your field boundaries and precision ag data will be associated with your Ag-Analytics accout. You can display this data on the map by using the "Manage Data" tool.

1. Select "Manage Data" on the Ag-Analytics toolbar.

2. Select your desired download folder path for the field data

3. Select your desired organization, farm, and field from the dropdowns

4. Once a field is selected, the boundary will automatically be loaded in as a shapefile

5. To download operation layers associated with the field, select "download field data"

6. Use the "Operation" dropdown to select which operation you would like to display on the map

7. Click "View Operation Layers" to load the selected operation onto the map

Raw precision ag files from Climate FieldView and CNH are called ADAPT files. These files can be uploaded and automatically processed by the Ag-Analytics Add-In.

1. Select the ADAPT button to launch the tool.

2. Select the ADAPT ZIP file that you want to upload and process3. Change the source type to either Climate or CNH, depending on which precision ag service the file came from

4. Choose a shape type for the resulting file 5. Select the operation type associated with the file

6. Choose a download folder and submit

ProfitLayers contains a variety of zone creation tools, which allow for users to manually create operation layers. These layers can then be seamlessly loaded into ArcGIS Pro using the "Manage Data" tool within the Ag-Analytics toolbar.

Once your data are loaded in, you can generate a profit map using your operation layers. The ProfitLayer tool works by assigning a price to every layer, which then gets combined to create an overall map of your profits. Use your harvest revenues along with seeding and chemical costs to get an idea of where your field is performing the best.

1. Select the ProfitLayer button on the Ag-Analytics toolbar

2. Select a raster layer to add to the profit calculation from the dropdown

3. Select a price per unit ($4 for instance for a corn harvest layer)

4. Click the green plus (+) button to add the operation to your calculation.

5. Repeat steps 2-4 with any other desired layers

6. (Optional) Select a variety raster or variety table in DBF format to associate with your profit map

7. Add any other blanket costs incurred across the entire field (such as rent or labor) to the "Other Costs" field

Select your desired resolution in decimal degrees. The default is .0001 decimal degrees, and the highest supported resolution is .00001 decimal degrees.

9. Select your desired download location for the profit map and press "submit" to generate

The Harmonized-Landsat-Sentinel (HLS) tool can be used to bring in satellite imagery from the NASA Landsat and ESA Sentinel satellites. A variety of bands and indicies are provided, which are listed in detail on our API portal.

1. Select the HLS tool from the Ag-Analytics toolbar

2.

Select an area of interest that you would like to populate with satellite data. This can be a shapefile or raster layer, and will act as a cookie cutter for the satellite imagery.

3.

Select which band or index you would like to display. These include visible bands such as RGB, nonvisible bands like infrared, or even indicies such as NDVI (which shows crop health). Read more about these options

here

4. Select which satellite to pull data from. You can select individual satellites or combined Landsat and Sentinel 5. Select the "Cloud Filter" option if you would like to filter out cloud coverage from the imagery 6. If mosaic by week is selected, the result raster will be the mosaic of all the tiles in a particular week for a given satellite 7. Choose a start and end date for the imagery. Data goes back to 2013.

Note: Please be aware that requested date must be entered in [mm/dd/yyyy] format. In certain cases, the Windows Regional Format Settings on your computer may need to be changed to 'English (United States)' to override regional date formats. To edit your Regional Format Settings, navigate to the Region Settings panel, then select 'English (United States)' under the Regional Format heading.

8.

Select interpolation to pull the latest avaible imagery in instances where only one date is provided

9.

Select your desired resolution for the imagery. Common units include decimal degrees and meters. To ensure that your units are correct, check the spatial reference of your area of interest by right clicking on it in the contents pane and selecting "Properties" -> "Source." HLS goes down to 1 meter resolution and .00001 decimal degrees.

10. Optionally choose a new coordinate system for the resulting imagery 11. Select a download location and press submit to run the HLS tool

The Digital Elevation Model (DEM) tool brings in high resolution elevation data and incidies (such as slope). Regular elevation layers are sourced from the USGS Digital Elevation Model, while elevation indicies are calculated by the tool. The four indicies included are:

1. Slope: Shows the maximum gradient, or steepness, of the field

2. Relative Elevation: Shows elevation relative to the field average. Derived by calculating the z- score, or difference from the average, for every point on the field 3. Topographic Position Index: Shows the elevation extremes - points of maximum and minimum elevation where water might pool or run off 4. Terrain Ruggedness Index: Shows how rough a given area is in terms of local hilliness and steepness of gradients

To run the tool, select an area of interest, resolution (down to .00001 decimal degrees for regular elevation, and .00003 for elevation indicies), elevation index option, and a download location.