FluroSat is building decision support systems utilising the analysis of remote sensing data (aerial and/or satellite imagery). We provide agronomists with information on stress levels and nutrient content distribution around the paddock (e.g., crop health maps, N or chlorophyll levels maps) calculated using our advanced modelling and processing tools. We go into in-depth analysis, extending NDVI to the identification of individual stressors.
What is different about us, is that we want to build reliable correlations combining multiple sources of hyperspectral / multi-spectral imagery (drone, satellite, ground-based sensors) and do it step by step for various crop types. Currently, we are looking for partners working with farm management software and agronomists keen to trial our solution.
This unique crop health monitoring and data processing system for early stress identification will enable farmers to save on fertiliser and pesticides through variable application and improve crop yields. Project stages include field trials (in progress), testing of the technology using a UAV and a weather balloon with the final stage of the project being monitoring and analysis of global crop coverage using space-borne data.
For more information, please visit our website: https://www.flurosat.com/