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Vestnik Sankt-Peterburgskogo Universiteta. Seriya 10. Prikladnaya Matematika. Informatika. Protsessy Upravleniya, 2016, Issue 1, Pages 85–91
(Mi vspui279)
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This article is cited in 2 scientific papers (total in 2 papers)
Computer science
Math module to automate the colorimetric method for estimating nitrogen status of plants
O. A. Mitrofanovaa, V. M. Bureb, E. V. Kanasha a Agrophysical Research Institute, 14, Grazhdanskiy pr.,
St. Petersburg, 195220, Russia
b St. Petersburg State University, 7–9, Universitetskaya nab.,
St. Petersburg, 199034, Russia
Abstract:
Accurate prediction of nutrient status of plants during the growing period is necessary for the efficient use of fertilizers, low yields and high quality products. The cheap and affordable methods of image analysis are promising techniques for monitoring crops for decision making to optimize the production process. Colorimetric method is based on an analysis of the optical characteristics of plants by digital images. To improve the colorimetric method we developed the module for the automatic construction of calibration curves for quantifying nitrogen status of plants. Refs 11. Figs 2.
Keywords:
remote sensing, digital image analysis, generalized color characteristic, construction of calibration curves.
Received: November 26, 2015
Citation:
O. A. Mitrofanova, V. M. Bure, E. V. Kanash, “Math module to automate the colorimetric method for estimating nitrogen status of plants”, Vestnik S.-Petersburg Univ. Ser. 10. Prikl. Mat. Inform. Prots. Upr., 2016, no. 1, 85–91
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https://www.mathnet.ru/eng/vspui279 https://www.mathnet.ru/eng/vspui/y2016/i1/p85
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Abstract page: | 63 | Full-text PDF : | 33 | References: | 17 | First page: | 5 |
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