If you are a first time user, the on screen tutorial will allow you to create your own fields by tracing the outline of your field.
If you want to create a new farm, navigate to the Fields tab and click Add a Field. Select your KML from your computer and once it’s uploaded, it will appear as a new field!
Current users who want to draw a new field can navigate to the Maps tab. Select the Polygon Tool (add icon here) and draw the boundary of your farm. The shape's details will appear in a sidebar to the left. Fill in any details, and click Save. Then click Export. This has created your KML. Rename the file, and upload it using the steps above.
What file format do I upload?
We accept files in KML and SHP format. If you are a farmer and don't have these files, your agronomist may have them.
You can also create your own KMLs using our "Add a field" button on the Farm tab. You can then select your field and download the KML for use in other platforms!
Do I need to upload individual fields one by one?
No, you can upload a KML or a SHP file that contains all of the fields on your property and the system will automatically separate each field as a separate management unit on the upload. The whole farm file will be also kept.
Do I need to upload my fallow fields?
Uploading all your fields is preferable but not necessary. The upside is that you will be set up for the next season!
How do I set up seasons for my field?
Setting up a season for individual fields
Go to the Farm tab and select the pencil icon above your fields. Click on one of your fields and select the Seasons tab on the top. Select Add a Season and enter the following start and end season dates. Select Crop Type and Subtype and whether the field is a Trial or standard field. Save and you will be led to the Season Details. Fill in any specifications and you're done!
Setting up a season for multiple fields
Follow the directions above and save your season under the individual field. Once on the Season Details Page, click Back to the List. Select the season you want to copy by clicking the checkbox. Copy Seasons will provide a list of all your fields - select those that the season is applicable to and press save.
I have a lot of historical data – should I bother uploading it to the platform?
Yes! Historical data including past tissue samples help our system calibrate differences in past performance. With this extra knowledge equipped, Flurosat will give you more accurate results, more quickly.
To get started, create the historic season for one of the applicable fields, detailed in How do I set up seasons for my field? (link). Now, fill in any tissue sampling, yield maps or fertiliser applications you have of the field. Clone the seasons to the applicable fields.
You can also upload historical aerial imagery as outlined in How do I upload Aerial Data?
How do I upload aerial data?
Go to the Remote Sensing Layers tab on the menu on the right. Click Upload Your Layers, and first select your date of capture.
Now you need to find out what kind of data you have - we currently support HiRams and Tetracam ZIP files as well as individual Bands and Index TIF files.
Using our tools
Farms gives you an overview of the fields you own. You can dive deeper by selecting the edit tool above your listed fields.
Select one of your fields to access its Info, Seasons and Remote Sensing Imagery.
Field Info gives a more in depth view of field data than the Farm tab.
The seasons tab allows for you to compartmentalise the dates of images by crop season. This helps you see only what's relevant to you now!
Within Remote Sensing Imagery, you can see a grid view of your field through time. Each picture comes with its own date, and hyperspectral index data. By clicking on the image, you can individually download index data for specific dates.
Cloud cover can be a problem when satellite are trying to map your farm. Hence our app hides the images that have cloudy data. You can manually select the dates you want to hide from analysis in the Remote Sensing Imagery tab, by toggling the hide button below each image.
Select your current season here. This is important as you will only be able to analyse and view dates from the season that you have selected! This is to reduce unnecessary dates clogging up your list!
Remote Sensing Imagery
Images with a % of Cloud Cover above the acceptable amount are automatically screened to remove outliers. The slider here can change the acceptable threshold for cloud cover.
Click on the dates on the list to view imagery from those dates in the indice selected. You can also download individual indices in Geotiff or PNG format using the arrow beside the date.
Upload your layers of aerial imagery with the "Upload Your Layers" button: explained in depth in "How do I upload aerial data?"
Select your initial date and index, and your secondary date using the "Compare Date" menu. Move the slider on the map back and forth to see discrepancies through dates or indices!
Ensure you are looking at the correct date and index with the menus at the top of the tab.
Sampling points enables visibility of sampling points; useful for when you need to do in field tissue tests!
Stddev, Equal Record, Equal Interval and Best Fit Jenks are each different models for creating zones, using the data we have. An in-depth explanation of each method is given in the Knowledge Base.
Next, select the amount of variable rate zones you want. Ensure each zone is substantial by specifying the minimum zone area.
You can input Rx (Fertiliser Prescription) along the zones given by the computer. The higher zones show lower reflectance scores which is a sign of unhealthy growth. Generally you should prescribe more to Zone 1 than Zone 4.
Downloading the SHP allows for you to import the file into your variable rate machine!
Suggest Sampling Points automatically chooses sampling points - 1 for each zone that you specify. You can then either move these points or leave them as is. Then save these points and they will show up in FluroSense when you open the app, to locate yourself in field!
Tissue Sampling Points
You can here upload .xsl, .xslx or .pdf files to identify the points where you have conducted sampling. You can also manually enter your results for your sampling.
You can also view older groups of sampling points from historical dates.
After entry of at least 3 sampling points with Nitrogen %'s, you will be able to create your own NMAP. The date on the top of the tab should have a leaf icon - indicating you have enough data to generate the NMAP. Once generated, an extra index for the specific date will appear - alongside NDVI, CCCI, MSAVI and NDRE.
Select your preferred parameters from the four drop down menus, and the map of your field will change accordingly. Then choose the number of zones you want - and the table will update to show you the mathematics behind the zones you created.
You can see the total land in a particular "health class", the % of total land in the class and the minimum and maximum bounds of reflectance that classifies a "health class".
Now click the map to place pins on noteworthy areas. After 3 pins, graphs of each point are plotted. They measure healthiness over time, and come in different versions for each index.
Where are my captures?
If they are not appearing, check that you have selected the correct season. Only dates within the selected current season will be shown. Otherwise, ensure you're looking at the correct farm and field, which can be selected in the top left corner.
Where are my tissue sampling points?
Ensure your sampling points are toggled on, at the bottom left of your screen. If it's on, check that your points are saved on the same date you are viewing.
Why can't I generate my NMAP?
To generate an NMAP, we need at least 3 sampling points on the same date, with a measure of N%. Ensure you have input your sample results.
Check the dates match the one you are viewing - a leaf icon should appear next to your date after 3 data points are input.
Remember to generate the map, and you will find it in your index list next to your dates.
My tissue sampling points aren't showing up in the TSP tab.
If you are using our suggested points, remember to make any edits and then save the points using the button on the zoning tab.
If you have made your own tissue sampling points, you can go to the TSP tab, and select from groups, "All Groups". When you find your TSP location, you can click on the marker and it will tell you all of its details - date, growth stage and chemical markers.
If it is not in All Groups, it's not in our system!
What do I look at? CCCI, NDVI, MSAVI or NDRE?
CCCI or Canopy Chlorophyll Content Index is the main index we use. A high value suggests high chlorophyll, and nitrogen which is a major component of chlorophyll. This suggests plant health. We derive it from the Near Infrared (NIR), Red and Red-Edge spectral bands.
NDVI or Normalized difference vegetation index is a ratio of NIR to Red. A high value suggests that a lot of NIR is being reflected compared to a low amount of visible red. This indicates that visibly, the plant looks green, indicating good growth.
MSAVI is the Modified Soil Adjusted Vegetation Index. It is based on the same principles as NDVI, but uses a third factor - vegetation cover (L). It does this by calculating a boundary between foliage and soil, called the soil line. It then attempts to reduce the impact of soil reflected light on the final adjusted value.
NDRE or Normalized Difference Red Edge is another method that tries to reduce the impact of soil. Another index that is based on the principles of NDVI, it substitutes Red for Red-Edge (the longest red wavelength that is still visible). This tries to minimise soil interference, as soil often reflects red substantially.
How are my zones computed and created?
Equal Records (or Quantile)
This method classifies data into a certain number of categories with an equal number of units in each category.
STD - Standard Deviation
The standard deviation classification method shows you how much a feature's attribute value varies from the mean. FluroSense calculates the mean and standard deviation. Class breaks are created with equal value ranges that are a proportion of the standard deviation—usually at intervals of one, one-half, one-third, or one-fourth standard deviations using mean values and the standard deviations from the mean.
This method sets the value ranges in each category equal in size. The entire range of data values (max - min) is divided equally into the number of classes that have been chosen.
Best Fit Jenks
The Jenks optimization method, also called the Jenks natural breaks classification method determines the best arrangement of values into different classes. This is done by seeking to minimize each class’s average deviation from the class mean, while maximizing each class’s deviation from the means of the other groups. In other words, the method seeks to reduce the variance within classes and maximize the variance between classes.
Can I see my crop lifecycle in day-degrees (DD) instead of dates?
This functionality will depend on the availability of the weather data for your area. Please contact our friendly customer support if you have a weather station on your farm that you would like to link up to your account and we can facilitate the integration through available tools. Alternatively, you can select a BOM weather station as a source of weather information that will underpin the DD calculation for your crop.
What can I do with the shapefile output of the zoning tab?
The shapefile output can be used to create variable rate maps for field application of, for example, fertiliser. The shapefile marks areas of lower N, and so, this map is used to direct more N to those areas.
Shapefiles can also be logged into Farm Management Software to store more data on how your farm has progressed over the years. You can see progress in aspects including soil restoration and water stress, to find solutions that are working the best for your fields.
If you have any further questions, please don't hesitate to email us at