Geodesic
Math module to automate the colorimetric method for estimating nitrogen status of plants
Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, no. 1 (2016), pp. 85-91

Voir la notice de l'article provenant de la source Math-Net.Ru

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. 
@article{VSPUI_2016_1_a7,
     author = {O. A. Mitrofanova and V. M. Bure and E. V. Kanash},
     title = {Math module to automate the colorimetric method for estimating nitrogen status of plants},
     journal = {Vestnik Sankt-Peterburgskogo universiteta. Prikladna\^a matematika, informatika, processy upravleni\^a},
     pages = {85--91},
     publisher = {mathdoc},
     number = {1},
     year = {2016},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/VSPUI_2016_1_a7/}
}
TY  - JOUR
AU  - O. A. Mitrofanova
AU  - V. M. Bure
AU  - E. V. Kanash
TI  - Math module to automate the colorimetric method for estimating nitrogen status of plants
JO  - Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ
PY  - 2016
SP  - 85
EP  - 91
IS  - 1
PB  - mathdoc
UR  - http://geodesic.mathdoc.fr/item/VSPUI_2016_1_a7/
LA  - ru
ID  - VSPUI_2016_1_a7
ER  - 
%0 Journal Article
%A O. A. Mitrofanova
%A V. M. Bure
%A E. V. Kanash
%T Math module to automate the colorimetric method for estimating nitrogen status of plants
%J Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ
%D 2016
%P 85-91
%N 1
%I mathdoc
%U http://geodesic.mathdoc.fr/item/VSPUI_2016_1_a7/
%G ru
%F VSPUI_2016_1_a7
O. A. Mitrofanova; V. M. Bure; E. V. Kanash. Math module to automate the colorimetric method for estimating nitrogen status of plants. Vestnik Sankt-Peterburgskogo universiteta. Prikladnaâ matematika, informatika, processy upravleniâ, no. 1 (2016), pp. 85-91. http://geodesic.mathdoc.fr/item/VSPUI_2016_1_a7/