Simultaneous identification of plant stresses and diseases in arable crops using proximal optical sensing and self-organising maps.

摘要

An experiment was conducted to detect plant stress caused by disease infestation and to discriminate this type of stress from nutrient deficiency stress in field conditions using spectral reflectance information. Yellow rust (Puccinia striiformis f. tritici) infected winter wheat plants were compared to nutrient stressed and healthy plants. In-field hyperspectral reflectance images were taken with an imaging spectrograph. A normalization method based on reflectance and light intensity adjustments was applied. For achieving high performance stress identification, Self-organizing maps and quadratic discriminant analysis (QDA) were introduced. Winter wheat infected with yellow rust was successfully recognized from nutrient stressed and healthy plants. Overall, performance using 5 wavebands was more than 99%..