Track hail damage and crop recovery with satellite imagery
See how you can use MSAVI index to track your crop emergence and detect hail damage
Detecting frost impact in grain using the red-edge band
One of the benefits of using the Red Edge spectral band in monitoring crops is that it can often detect stress in a crop much earlier than other bands. This early warning lets growers and their crop advisors intervene early to either recover the yield or cut their losses and reallocate inputs to other areas more better yield potential.
How to export FluroSense zone maps into Proagrica SST Summit
Management zone maps created using FluroSense can be exported to Summit for use in creating recommendations and other records. The below steps show you how, with thanks to Steve Richmond from Kerin Landmark Rural.
FluroSense december updates
We’ve been hard at work and wanted to share with you our latest achievements in helping you grow more for less!
Bowles Farming Co. - Excellence in Cotton - Case Study
Discover how Bowles farming with 1860 ha of cotton optimised their crop management using FluroSense
FluroSat Acquires ProductionWise from Australia’s GrainGrowers
FluroSat, an Australian remote sensing, and crop health software startup, has acquired ProductionWise, the digital agriculture platform of GrainGrowers, Australia’s leading grain farmer membership group.
Announcing FluroSense - crop health monitoring and precision agriculture platform
In close collaboration with agronomists and crop research scientists, we are proud to launch FluroSense - the tool that will simply the way you work with ag data and help you get higher returns on your investments
Study in one of many corn fields – calibrating Sentinel 2 A/B to Mark VI IoT sensor for better data availability
This study demonstrates a procedure following which you can calibrate a set of IoT sensors, Arable Mark VI for instance, to satellite imagery on an example of a commercial growers’ corn field in Illinois, US.
In-field precision – directed sampling, scouting and nutrient mapping
With data science algorithms in FluroSense advising where to scout and sample, agronomists can minimise the guess-work and get more out of the data they collect
Preparing for a dry Australian winter 2018
Nutrient analysis for grain crops in dry years
Accurate Nitrogen mapping in cotton with hyperspectral – FluroSat's scientific research published in IEEE
Crop health monitoring takes a whole new level with the hyperspectral data - high spectral resolution data that reveals signs of crop stress early
Cotton Nitrogen mapping - 4 times better than NDVI
FluroViewer N map in Cotton gives agronomists X4 higher correlation with tissue N than NDVI