Abstract
Crop infestation with root-knot nematodes (RKN) and water deficiency lead to similar visible symptoms in the plant canopy. Identification of biotic or abiotic stress origin is therefore a problem, and currently the only reliable methods for determination of RKN infestation are invasive and applicable only for point-searches. In this study the applicability of hyperspectral remote sensing for early identification of drought stress and RKN infestations in tomato plants was tested. A four-stage image and data management pipeline was established: (1) image acquisition, (2) data extraction, (3) pre-processing, and (4) processing.•This pipeline reduces atmospheric impacts, facilitates data extraction (by using specially designed spectral libraries and supervised classification procedures), diminishes the impact of viewing geometry, and emphasized small spectral variations not apparent in the raw data.•By combining partial least squares – discriminant analysis and support vector machines with time series analysis, we achieved up to 100% classification success when determining watering regime and infestation, and their severity.•This pipeline could be at least partially automated, thus facilitating high throughput identification of stress origin in plants. Furthermore, the same pipeline could be applied to hyperspectral phenotyping procedures, which are gaining importance in breeding programs.
Highlights
Crop infestation with root-knot nematodes (RKN) and water deficiency lead to similar visible symptoms in the plant canopy
Plant-parasitic nematodes have a major impact on global food production, with an annual loss of approximately $100 billion worldwide [1]
The group of tropical RKNs can parasite a wide range of host plants, hundreds of agricultural crops belonging to monocotyledons, dicotyledons, including herbaceous and woody plants
Summary
Pipeline for imaging, extraction, pre-processing, and processing of time-series hyperspectral data for discriminating drought stress origin in tomatoes. Uroš Žibrat*, Nik Susic, Matej Knapic, Saša Širca, Polona Strajnar, Jaka Razinger, Andrej Vonc9ina, Gregor Urek, Barbara Geric Stare. Agricultural Institute of Slovenia, Plant Protection Department, Hacquetova ulica 17, 1000 Ljubljana, Slovenia
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