In:
Vestnik of the Russian agricultural science, The Russian Academy of Sciences, , No. 2 ( 1970-01-01), p. 4-10
Abstract:
The scientific and technological progress in the agricultural production is based on the application of digital technologies of “smart agriculture” and precision farming, which is its key segment. Precision farming is a global trend of the adaptation of agricultural technologies for crop production to within-field spatial variability of crop formation conditions. It is necessary to quantify the degree of heterogeneity of these conditions and determine the boundaries of their variability in a given agricultural field. Based on the analysis of the available approaches to the within-field variability assessment, the paper substantiates the expediency of searching for new, more precise and inexpensive methods for solving this problem. Due to the large area of Russia, there is no alternative to the technology of remote sensing of the Earth in the information support of precision farming. The proposed new method of within-field heterogeneity detection is based on the use of optical criteria (reflection indexes), characterizing specific and non-specific features of spectral characteristics of crop canopy under the impact of various stress factors. Under controlled conditions, using a special spectrometer, a specific list of reflection indices and a set of quantitative indicators for each criterion was obtained to assess the physiological state of wheat under optimal conditions and nitrogen and water deficiency. The obtained results provide new possibilities for automating the process of interpretation of hyperspectral satellite images in order to identify and reveal the boundaries of the negative effects of stressors that inhibit the growth and development of crops. The relevant algorithmic scheme of the method implementation is considered in the paper.
Type of Medium:
Online Resource
ISSN:
2500-2082
DOI:
10.30850/vrsn/2020/2/4-10
Language:
Unknown
Publisher:
The Russian Academy of Sciences
Publication Date:
1970
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