Monitoring of photosynthetic activity indicators and its use to control the moisture supply of soybean crops

Authors

  • Mikhail Gennadyevich Zagoruiko Federal Scientific Agroengineering Center VIM
  • Marina Evgenievna Belyshkina Federal Scientific Agroengineering Center VIM
  • Rashid Kurbanovich Kurbanov Federal Scientific Agroengineering Center VIM
  • Natalia Ivanovna Zakharova Federal Scientific Agroengineering Center VIM

DOI:

https://doi.org/10.28983/asj.y2021i12pp9-12

Keywords:

unmanned aerial vehicles, multispectral survey, vegetation map, ; soybean (Glycine max (L.) Merr.), early ripening varieties, photosynthetic activity

Abstract

The paper presents the results of diagnostics of photosynthetic activity in soybean crops using the use of unmanned aircraft. Monitoring was carried out in two stages during the period of intensive growth of the green mass of crops before the onset of the soybean flowering phase in the agro-climatic conditions of the Central region of the Non-Chernozem zone of the Russian Federation. The purpose of the research: to study the possibilities of using unmanned aerial vehicles to control the photosynthetic activity of soybean plants and predict potential yields. For each of the varieties, the composition of photosynthetic pigments in the leaves of soybean plants, the average values of the clGreen vegetation index and the standard deviation in phases V2 – the second node and R2 – full flowering were determined. Forecast yield values were calculated based on the regression equation. The data obtained were evaluated using MAPE, the prediction accuracy was 92.4–97.3%.

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References

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Published

2021-12-29

Issue

Section

Agronomy

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