Our master's student Bhumika Laxman Sadbhave developed a fully automated stress detection system for sugar beets.
Sugar beets face both biotic and abiotic stresses all of which reduce yield and sugar content. Farmers, traders and sugar processing companies need to know: Which fields are affected? How large is the affected area?
Bhumika's stress detection system uses Sentinel-2 satellite imagery, the field boundaries of interest and the growing period for the specific crop as inputs. Users get the model accuracy and marked disease patches with a spatial accuracy of 40 metres as outputs.Bhumika has submitted her thesis but will stay with us at green spin as a working student to extend her model to other crops, enable earlier stress detection and increase the model accuracy.
Thank you for your great work, Bhumika! We are excited to see, how your model develops further. Test the ready-to-use stress detection system on github Read the scientific paper on Bhumika's stress detection model published together with Denise Dejon and Gunther Schorcht from green spin and university supervisor Prof. Dr. Magda Gregorová from the Technical University of Applied Sciences Würzburg-Schweinfurt (THWS): access to the paper