Abstract

Soybean losses during combine harvesting, depending on conditions, can reach more than 30%. This has a significant impact on the profitability of soybean production as a whole. The article is devoted to modeling possible losses when harvesting soybeans in an agricultural enterprise. The results of monitoring the quality of soybean harvesting and information materials published in periodicals were used in the research process. Total losses were considered as the sum of self-shedding losses due to harvesting delays and losses directly behind the combines. Three options for soybean harvesting are considered: within the agricultural period, partially within the agricultural period and completely beyond the agricultural period. Modeling of losses by self-shedding is performed depending on the harvesting option and the duration of work over the agricultural period. Modeling of soybean losses for a separate combine is carried out on the basis of dependencies that take into account changes in losses from the duration of work over the agricultural period, operating speed, cutting height and lodging. A distinctive feature of the model is the prediction of the reliability of combines, depending on the operating time since the start of operation. The initial data of the model is formed by the following indicators: cleaning conditions; consumer properties of combines; technological operating modes of combines when harvesting soybeans. The model provides for each combine harvester to determine performance indicators based on operating time. Based on this, the following are determined: the total operational productivity of combines and the duration of soybean harvesting without taking into account and taking into account delays due to weather conditions. Next, the technological losses behind each combine, the total losses of soybeans behind the combines, and the losses of soybeans by shedding during the period of operation after the agricultural period are modeled. As a result, the total soybean losses in the agricultural enterprise during the harvesting period are estimated. The simulation results make it possible to select the most favorable scenario for using combines in an enterprise from the point of view of minimizing losses.

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