Characterisation of fungal diseases on winter wheat crop using proximal and remote multispectral imaging


  • Bebronne, R. , Michez, A. , Leemans, V. , Dumont, B. , Vermeulen, P. & Mercatoris, B. (2019). Characterisation of fungal diseases on winter wheat crop using proximal and remote multispectral imaging. Proceedings in: 12th Europen Conference on Precision agriculture 2019, Montpellier, 8-11 juillet 2019, Wageningen Academic Publishers, 255-261.
Type Conference Proceedings
Year of conference 2019
Title Characterisation of fungal diseases on winter wheat crop using proximal and remote multispectral imaging
Conference name 12th Europen Conference on Precision agriculture 2019
Conference location Montpellier
Publisher Wageningen Academic Publishers
Pages 255-261
Label U15-1954-Vermeulen-2019
conference Date 8-11 juillet 2019
Endnote Keywords Wheat ; Fungal diseases ; unmanned aerial vehicle sensing ; multispectral ; proximal sensing
Abstract Winter wheat fungal diseases, responsible for high yield losses, can be assessed by computer vision to increase phenotyping performance. This study aims to compare multispectral imagery based on remote and proximal sensing for disease detection. Wavelength selection was achieved by ANOVA and stepwise regression. Prediction of disease severity was performed by means of an artificial neural network based on proximal sensing data. If septoria requires proximal measurements, stripe and brown rusts can be detected from UAVs and early detection from the ground. Prediction results obtained gave R² of 0.55 and 0.57 for septoria tritici blotch and stripe rust respectively.
Fichier
Lien https://www.wageningenacademic.com/doi/10.3920/978-90-8686-888-9_31
Authors Bebronne, R., Michez, A., Leemans, V., Dumont, B., Vermeulen, P., Mercatoris, B.