INSTALLATION FOR DIAGNOSTICS OF METABOLIC DISORDERS OF PLANT COVER BASED ON IR SPECTRA OF ATMOSPHERIC
Abstract and keywords
Abstract (English):
Measures to protect plants from various pathogens should be carried out over a certain period of time to avoid possible economic losses. Complex mobile systems are needed to monitor the susceptibility or resistance of various plant crops. The report presents a setup that allows recording signs of metabolic disorders in agricultural crops at the early development stage using direct atmospheric absorption in the IR range. The characteristics of the equipment used are provided. The methodology of the approach to processing primary experimental data is described. A series of experiments were conducted on a standard FT-801 Fourier spectrometer. A greenhouse measuring 50 cm wide and 200 cm long was used as a working volume. A representative sample of plants consisted of 35 pieces. It is shown that the spectroscopic approach allows recording the presence of infection 5 days before the appearance of the corresponding morphological features in plants.

Keywords:
Spectroscopy, Machine analysis, IR spectra, Plant stress
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References

1. MahleinA. K. Plant disease detection by imaging sensors–parallels and specific demands for precision agriculture and plant phenotyping //Plant disease. 2016. T. 100. №. 2. S. 241-251.

2. Stafford J. V. Implementing precision agriculture in the 21st century // Journal of agricultural engineering research. 2000. T. 76. №. 3. S. 267-275.

3. Martinelli F. et al. Advanced methods of plant disease detection. A review // Agronomy for Sustainable Development. 2015. T. 35. S. 1-25.

4. Bock C. H. et al. Plant disease severity estimated visually, by digital photography and image analysis, and by hyperspectral imaging // Critical reviews in plant sciences. 2010. T. 29. №. 2. S. 59-107.

5. Sinica L.N., Scherbakov A.P., Emel'yanov N.M., Lugovskoy A.A. Sposob izmereniya razmera por gidrofil'nyh materialov // Patent № 2758777. 2021.

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