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Forskningsartikel - Refereegranskat, 2018

Exploring the potential of PROCOSINE and close-range hyperspectral imaging to study the effects of fungal diseases on leaf physiology

Morel, Julien; Jay, Sylvain; Feret, Jean-Baptiste; Bakache, Adel; Bendoula, Ryad; Carreel, Francoise; Gorretta, Nathalie


The detection of plant diseases, including fungi, is a major challenge for reducing yield gaps of crops across the world. We explored the potential of the PROCOSINE radiative transfer model to assess the effect of the fungus Pseudocercospora fijiensis on leaf tissues using laboratory-acquired submillimetre-scale hyperspectral images in the visible and near-infrared spectral range. The objectives were (i) to assess the dynamics of leaf biochemical and biophysical parameters estimated using PROCOSINE inversion as a function of the disease stages, and (ii) to discriminate the disease stages by using a Linear Discriminant Analysis model built from the inversion results. The inversion results show that most of the parameter dynamics are consistent with expectations: for example, the chlorophyll content progressively decreased as the disease spreads, and the brown pigments content increased. An overall accuracy of 78.7% was obtained for the discrimination of the six disease stages, with errors mainly occurring between asymptomatic samples and first visible disease stages. PROCOSINE inversion provides relevant ecophysiological information to better understand how P. fijiensis affects the leaf at each disease stage. More particularly, the results suggest that monitoring anthocyanins may be critical for the early detection of this disease.

Publicerad i

Scientific Reports
2018, Volym: 8, artikelnummer: 15933

      SLU författare

    • Morel, Julien

      • Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA)
      • Institutionen för norrländsk jordbruksvetenskap, Sveriges lantbruksuniversitet

    UKÄ forskningsämne

    Agricultural Science

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