title: Analysis of plants color characteristics using aerophotos with different factors of qualitative indicators
metadata.name: dc.contributor.author
metadata.value: Bure, Vladimir M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Kanash, Elena V.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Mitrofanova, Olga A.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2017-10-12T09:48:03Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2017-10-12T09:48:03Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2017-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Bure V. M., Kanash E. V., Mitrofanova O. A. Analysis of plants color characteristics using aerophotos with different factors of qualitative indicators. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2017, vol. 13, iss. 3, pp. 278–285.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: 10.21638/11701/spbu10.2017.305
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/8513
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: One of the most relevant and highly demanded directions in modern precision agriculture is
  the assessment of vegetation conditions. An accurate assessment of the state of agricultural
  plants during the growing season is necessary for the effective use of fertilizers, profitable yields
  and high quality products. The method for solving this problem is based on an analysis of
  the color characteristics of plants from digital images. In this paper methods of the analysis
  of color characteristics of plants in aerial photos with various factors of qualitative indicators
  are examined. In addition, an example of analysis of experimental data is presented using
  the programming language R. The initial data of the problem are plants’ color parameters L,
  a, b in special test areas. The test area is a small region of the field where the qualitative
  indices of plants are already known. In this paper, the following example is considered: there
  are test areas of wheat with known doses of nitrogen (0, 60, 90, 120 kg of active substance per
  1 ha). In addition, certain quality indicators of plants are formed at each site: grain size (large,
  small), plant protection (weeds, no weeds), seeding rates (6 mmillion per ha, 5 mmillion
  per ha). The existence of a linear relationship between the color of plants and the dose of
  nitrogen must be analysed on the basis of various qualitative factors. In the course of solving
  the problem, algorithms were developed and tested to implement the methods presented. As a
  result of a preliminary analysis in the example described, the distribution of samples of color
  characteristics for each pair of factors turned out to be different. In the course of the experiment
  8 linear regressions were developed and the regression equations turned out to be statistically
  significant as a whole. Nevertheless, it should be noted that the coefficient α for the color
  component of L turned out to be 0. Presumably, this is due to errors during the experiment’s
  stowage (some of the test areas were laid out later than others). Refs 5. Table 1.
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 13; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: aerial photography
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: generalized color characteristic
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: precision agriculture
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: language R
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Analysis of plants color characteristics using aerophotos with different factors of qualitative indicators
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 05-Bure.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/8513/1/05-Bure.pdf
resources.format: Adobe PDF
resources.size: 202,33 kB