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NORMATIVE-REFERENCE DATABASE FOR AGRICULTURAL MANUFACTURERS SUPPORT SYSTEM AND RATIONAL CHOICE OF COST-EFFECTIVE ADAPTIVE TECHNOLOGIES FOR GRAIN CROPS CULTIVATION
Abstract
Nowadays, landscape specific agriculture development, along with precision farming, is one of the most promising areas for improving crop production worldwide. At the same time, further farming systems improvement should be based not only on the latest achievements of traditional fields of agronomical science, but on some of the interdisciplinary researches, that make good use of the results of modern scientific research. The study addresses the results of the scientific study on the development of the normative-reference database structure for agricultural manufacturers support system and rational choice of cost-effective technologies for grain crops cultivation, taking into account the current trends in the development of native agriculture, including a list of the necessary technological methods and the conditions for their smart use, aggregates, tools and machines, as well as varieties and hybrids of grain crops. As a result of the analysis and categorization of extensive experimental data on optimization and resource saving of agrotechnologies in different natural and climatic conditions of the European part of the Russian Federation, there has been made out an essentially new scheme of choosing a rational technology for cultivating grain crops, which allows agrarians to avoid wrong decisions and to make full use of environmental and physical assets. The normative-reference database structure includes three blocks: the initial (input) data block, the normative information block, the computational algorithms data block. From this point on, on the bedrock of the developed database, there will be developed a computer program "System for the agricultural manufactures support for the rational choice of cost-effective technologies for grain crops cultivation," which, using the baseline information, interactively allows providing best practice advice in a certain agrotechnology usage for the purpose of getting stable and highly remunerative production of plant products of specified quantity and quality.
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References9
Bure V.M., Methodology and software-mathematical tools of information support of exact agriculture, The dissertation author's abstract on the competition of a scientific degree of Doctor of Technical Sciences, Russia, 2009.
Yakushev V.V., Telal B.A., Chasovskikh S.G., Matveenko D.A., Aspects of formalization of knowledge in information intellectual systems for plant growing, Mathematical Models in Theoretical Ecology and Agriculture (Poluektov Readings), Russia, 2014, pp. 116-118.
J.W. Jones, G. Hoogenboom, C.H. Porter, K.J. Boote, The DSSAT cropping system model, Europ. J. Agronomy, vol. 18, pp. 235-265, 2003.
L.A. Hunt, J.W. White, G. Hoogenboom, Agronomic data: advances in documentation and protocols for exchange and use, Agricultural Systems, vol. 70, pp. 477-492, 2001.
J.O. Paz, W.D. Batchelor, G.L.Tylka, R.G. Hartzler, A modeling approach to quantifying the effects of spatial soybean yield limiting factors, Trans. ASAE, vol. 44(5), pp. 1329-1334, 2001.
K. Singh, R. Kumar, R. Mall, Soybean (Glycine max) yield prediction from current and historical weather data using CROPGRO model, Indian Journal of Agricultural Sciences, India, vol. 69(9), pp. 639-643, 1999.
V. Yakushev, A. Petrushin, S. Slinchuk, Electronic adviser. Computer systems of decision support in the field of plant growing, New Agriculture, Russia, vol. 1, pp. 30, 2006.
Mikheeva E.V., Information technology in professional work, Russia, 2006.
I.G. Pykhtin, A.V. Gostev, A.I. Pykhtin, Software Decision Support in the Cultivation of Crops, Journal of Engineering and Applied Sciences, UAE, vol. 12, pp. 5338-5342, 2017.
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