Prediction method of the variants of annual field work complexes and its implementation

Autor:	Anna Aletdinova, O. V. Elkin, B. D. Dokin
Rok vydání:	2019
Předmět:	Work (electrical) Environmental science Data mining computer.software_genre computer Field (computer science)
Zdroj:	IOP Conference Series: Earth and Environmental Science. 341:012111
ISSN:	1755-1315 1755-1307
DOI:	10.1088/1755-1315/341/1/012111
Popis:	The prediction method of the variants of annual field work complexes provides justification for machine and tractor fleet structure. It gives a graphical view of the load of power machines, evaluation and selection of mechanization equipment for a particular job or complex of works, taking into account the condition that the cost of equipment should be covered by a decreased number of employed operators and harvest losses. The authors propose an algorithm for the implementation of this method, which has led to the creation of a program Agro. A simulation is carried out using the example of a model agricultural organization. The authors confirm the inverse relationship between increasing the power capacity of tractors and the need for machinery.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::50ce75144c2fb6b0446994726ab48892 https://doi.org/10.1088/1755-1315/341/1/012111 Zobrazit plný text záznamu