Advanced features of automated detection of within-field variability based on hyperspectral images and optical criteria

Stepanov A., Illarionova L., Aseeva T., Polyakov A.

Assessment of crop heterogeneity using remote sensing data is an urgent task of digital agriculture. NDVI values were calculated for arable lands of the Khabarovsk Territory from Sentinel-2 images with a resolution of 10 m. A cluster analysis of NDVI time series in 2022 was carried out to assess the heterogeneity of soybean, oat, corn and buckwheat crops at the regional level. Two clusters were described for soybeans, one of which represented clogged fields in 2022, and the average seasonal course of NDVI in this cluster in July–August corresponded to fallow lands. Extremes of the average seasonal NDVI course and time series for each cluster were calculated for agricultural crops of the Khabarovsk Territory. A comparative assessment of the heterogeneity of crop development within the same field was carried out using UAV and satellite data, while the NDVI distribution obtained from satellite images corresponds to the spatial distribution of NDVI according to the DJI Mavic3M UAV data. At the next stage of the research, it is planned to analyze the within field heterogeneity of crops for other crops of the Khabarovsk Territory using satellite monitoring, which will significantly reduce the cost of obtaining and analyzing UAV images.

Lysov A., Kornilov T.

This study is devoted to the study of the spectral characteristics of the reflection of healthy and diseased plants of winter wheat. The studies were carried out in 2021 at the on experimental crops of winter wheat artificially infected with a strain of the fungus Fusarium graminearum of the field site FSBSI VIZR of the research laboratory in the Belgorod region. Various options included studies of the spectral characteristics of the reflection of infected areas of winter wheat crops after treatment with the chemical fungicide Input, EC and the biological fungicide Alirin-B, F, taking into account the biological effectiveness of these protection products. Artificial infection of test plots of winter wheat was carried out with a strain of the fungus Fusarium graminearum from the VIZR collection. The values of the spectral brightness of healthy and diseased winter wheat plants were determined using a PSR-1100 spectroradiometer. in the wavelength range of electromagnetic radiation from 320 to 1100 nm and is shown by the spectral brightness coefficient (SBC). Studies have shown that spectroradiometry makes it possible to identify informative features that show the differences between healthy and Fusarium graminearum-infected plants in winter wheat based on the spectral brightness of the reflection of optical waves. According to the spectral characteristics of reflection, it was found that significant differences in the spectral brightness of healthy and infected plants of winter wheat are observed in the red and near infrared subrange of optical wavelengths. The dependence of the SBC of winter wheat plants on the biological effectiveness of protective agents was revealed. When using a chemical fungicide against Fusarium graminearum, the SBC of winter wheat plants is 1.8 times higher than in areas treated with a biological fungicide, which correlates with the biological effectiveness of the applied pesticides.