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 Farm tab and click Add a Field. Select your KML from your computer and once it’s uploaded, it will appear as a new field!
If you want to draw the boundary of your farm, the option is also offered after clicking Add a Field. Draw your field boundaries, clicking on the origin point to close your shape. Fill in any details, and click Save.
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 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?
Go to the Farm tab and select the Expanded View button (below Add Fields). Select one or more of your fields and press Add Crop above. Enter the crop type, subtype, and the start and end season dates.
Saving will have changed your season dates, and your corresponding available imagery for the selected fields.
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.
Navigate to the Farm tab and select Expanded View. Now you can enter the details of your season by selecting a field and pressing Add Crop. Enter the crop type, and start and end dates, which will generate the data for the previous dates.
If you have multiple fields that have the same crop type and season dates, you can select the corresponding checkboxes on the left and bulk add the seasons, saving you time!
You may now navigate to the previous season dates when viewing the fields, allowing for insights to be gathered from even before joining our platform!
How do I upload additional 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.
Enter the source of your data and upload the file from your computer, and the imagery will be available under your field for the date you specified.
We currently support:
Airplane (Bands and Indices)
UAV/Drones (Bands and Indices)
Satellite (Bands and Indices)
Machinery (EC, PH, N-application and Yield)
How to share access on farm view in FluroSense?
Simply go to the farm tab and click “Add new user to your farm” which is located on the right-hand side of the farm’s name.
Enter your colleague's email and click “Invite user”. Your colleague will receive an email notification from FluroSat’s team when the access is shared.
Please remember that the new user can modify your farm’s information
Using our tools
This tab gives you an overview of the fields you own. Here you can add fields and seasons to your crop. You can dive deeper by selecting the Expanded View button above your listed fields.
The expanded view shows your fields in a detailed list, where you can edit crop type, edit seasons, add or delete fields, as well as export or download them.
This is where you can change your season and view seasonal data such as weather data.
The season you have selected 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!
Weather Data is taken from nearby weather stations to provide the estimated growing day degrees (GDD) and rainfall for the crop. This helps provide reasonable expectations for the crop, based on it's growth stage. This powers tools such as fertiliser recommendations and gives you better context when analysing reflectance data.
Low Performing Areas is a tool that helps you note areas that are weaker than the rest of the field, and mark the cause for it. This helps remind you of problem areas, and plan around them accordingly.
Remote Sensing Layers
This is where you can edit details about the layers of imagery that are on the platform.
The Cloud Cover slider allows you to hide images with a % of cloud cover above the acceptable amount. This is to ensure the validity of your data - so you aren't including clouds in your field analysis!
Click on the dates on the list to view imagery from those dates. You can also download individual indices in Geotiff or PNG format using the arrow beside the date. To the left of the date, you can also manually hide unwanted layers, by clicking the icon.
Upload your layers of additional imagery manually using the button below. The FAQ How do I upload additional data? under Getting Started provides further detail on this.
This tab allows you to view your field in different ways, side-by-side!
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!
This tab allows you to split your field into zones, based on their performance.
Ensure you are looking at the correct date and index with the menus at the top of the tab.
Sampling points enables visibility of tissue samples. This is useful when you need to compare your tissue data to the reflectance levels in your zone imagery.
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.
Below, you can select the amount of Variable Rate Zones you want. Ensure each zone is of substantial size by specifying the Minimum Zone Area.
The Buffer removes the analmalous areas that often surround the field - whether they be fences, or parts of the road, it helps keep your analysis solely on the crops in the field.
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!
You can input a different Rx (Fertiliser Prescription) for each different zone. The higher the reflectance score, the healthier the crops. Zone 1 has the lowest reflectance, hence you should prescribe in descending order (more to Zone 1 than Zone 4).
Downloading the SHP allows for you to import the file into your variable rate machinery!
Tissue Sampling Points
This tab allows you to input and edit your ground tissue samples with our satellite imagery, to calibrate and enhance both analysis methodologies!
You can 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.
This tab is used for running analysis on specific points in your field, and tracking their health over time.
Using your existing tissue sampling points, our analytics tab generates reflectance levels for each point at points throughout the season, until the most recent date.
To add further analysis points, click on the map, and a graph of reflectance values for all the indices will be generated.
These graphs can then be correlated with yield maps to find a standard for next season. Find the areas of highest yield and place a marker on the analysis map to find healthy data values for each stage of your crop.
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 one of the main indices that we use as it is correlated with plant’s nitrogen which is a major component of Chlorophyll. Chlorophyll is the main pigment involved in the photosynthetic activity and therefore the importance of this index.
NDVI or Normalized difference vegetation index: It is calculated by using red visible light and NIR. Red light is mostly absorbed by the top of the plant canopy. The NDVI index reaches high values when the field is covered by healthy reflecting leaves which makes it a good indicator for plant health and biomass density. However, NDVI tends to miss subtle vegetation changes in fields with high biomass density.
MSAVI is the Modified Soil Adjusted Vegetation Index:. It was developed to minimize soil influences on canopy spectra by incorporating a variable soil adjustment to NDVI. MSAVI tends to have higher values than NDVI as it is only considering the parts of the field that contains canopy. Thus, this index will be more sensitive during early crop stages, allowing you to follow up your crops during the initial stages of growth.
NDRE or Normalized Difference Red Edge: NDRE is an index that uses Red Edge instead of regular red light. Red Edge light penetrates better through the canopy and would give us an idea of the canopy structure. This index complements NDVI as it is sensitive even with high crop biomass. For this reason, we mostly use NDRE when the crop is fully grown.
Taking into account the sensitivity of the different indices, we would suggest using MSAVI at early stages for being the most sensitive of them, switching to NDVI at middle stages and NDRE at late stages of growth. As the crop transitions to senescence, it would be useful to return to more sensitive indices like MSAVI as the foliage would decrease.
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