What is it about?
Determining the optimal structure of the tillage combine for working in a particular company is a very difficult task due to many factors. While searching for the optimal choice, it is necessary to strive for having fewer combines in operation, reduce the fuel costs and compensate damages due to changes in agrotechnical terms and soil compaction during the combines’ operation. In this article it is proposed to apply the Monte Carlo simulation for solving this issue. As a result of the analysis of models, it was observed that all combines can be divided into separate efficiency groups and form certain tillage complexes.
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Why is it important?
The process of cultivation of soil refers to high-cost operations related to cereal cropping in agricultural production. The key indicators of the efficiency of a tillage combine include productivity and specific fuel consumption, which, in turn, depend on the complexity of work, the depth of processing and structure of the combine – the type of tractor and plough. The choice of the most optimal tillage combine structure for working in a particular enterprise is practically impossible due to many deterministic and random factors. Usually, the low fuel consumption is taken as a key criterion (Karparvarfard and Rahmanian-Koushkaki, 2015; Moitzi et al., 2014), which may not be the best option since there is a high probability of obtaining a low-efficiency combine.
Perspectives
The developed models can be successfully used in the software of on-board tractor computers or utilised by main specialists (while planning agricultural works). Similarly, it is possible to obtain dynamic models for other technological processes of crop production. All developed models will allow reducing the production costs and getting closer to precision agriculture.
Dr. Sergey Vladimirovich Oskin
Kubanskij gosudarstvennyj agrarnyj universitet
Read the Original
This page is a summary of: Using Service Simulating Test in Designing of Tillage Combine, Acta Technologica Agriculturae, January 2017, De Gruyter,
DOI: 10.1515/ata-2017-0021.
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