Abstract
One of the main factors that have a direct impact on the crop yield is correct fertilization for achieving an optimal soil composition. The yield, in turn, is one of the main indicators of the agroeconomic substantiation of intra-farmland use projects. There are many factors to consider when choosing a fertilization schedule. These include, in particular, the planned yield, the fore crop previously cultivated on the sown area, the composition of the soil, the region and the crop planned for sowing, etc. A scientifically substantiated solution to such a problem is impossible without the use of economic and mathematical methods and optimization models. Methods of linear optimization have been widely used in land utilization by now. The article proposes an algorithm for calculating the doses of mineral fertilizers, which consists of two stages: calculating the amount of active substance for three main macroelements and directly calculating the dosage of fertilizers applied, based on a linear optimization model.
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References
Avtomatizatsiya agronomicheskikh raschetov, LLC Nauchno-proizvodstvennaya firma “FITO”. http://www.fito-system.ru/programma-Agronom (2021). Last accessed 2021/02/06
Purdue Turf Fertilizer Calculator, Turfgrass Science at Purdue University. https://turf.purdue.edu/fertilizer-calculator/ (2021). Last accessed 2021/02/06
Podgorskaya, S.V., Podvesovskii, A.G., Isaev, R.A., Antonova, N.I.: Fuzzy cognitive models for socio-economic systems as applied to a management model for integrated development of rural areas. Bus. Inf. 13(3), 7–19 (2019). https://doi.org/10.17323/1998-0663.2019.3.7.19
Kaiser, H.M., Messer, K.D.: Mathematical Programming for Agricultural, Environmental and Resource Economics. Cornell University, vol. 494 (2011)
Sofi, N.A., Ahmed, A., Ahmad, M., Bhat, B.A.: Decision Making in Agriculture: A Linear Programming Approach, vol. 13, no. 2, pp. 160–169 (2015)
Normativy dlya opredeleniya potrebnosti sel'skogo khozyaystva v mineral'nykh udobreniyakh. M.: CINAO, 240 (1985)
Sheudzhen, A.K.H., Gromova, L.I., Onishchenko, L.M.: Metody rascheta doz udobreniy, Kuban. gos. agr. un-t, 61 (2010)
Saha, D., Marble, S.C., Torres, N., Chandler, A.: Fertilizer placement affects growth and reproduction of three common weed species in pine bark–based soilless nursery substrates. Published online by Cambridge University Press (2019)
Stewart, C.J., Marble, S.C.: Effects of three fertilization methods on weed growth and herbicide performance in soilless nursery substrates. J. Environ. Hortic. 36(4), 133–139 (2018)
Acknowledgements
The authors are grateful to Reshetnikova T.Y., Ph.D., Kadyrova G.D., Ph.D., Bodrova V.N., Lagutina A.I. for the help provided in the conduct of this study.
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Pavlovskaya, E., Zakharova, A., Titarev, D. (2022). Algorithm for Calculating Doses of Mineral Fertilizers Based on Linear Optimization Model. In: Ronzhin, A., Berns, K., Kostyaev, A. (eds) Agriculture Digitalization and Organic Production . Smart Innovation, Systems and Technologies, vol 245. Springer, Singapore. https://doi.org/10.1007/978-981-16-3349-2_31
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DOI: https://doi.org/10.1007/978-981-16-3349-2_31
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