Optimization model of resource-saving business process of oilseeding

The process of sowing oilseed crops sets the initial conditions for the subsequent cultivation and harvest of oilseeds and fruits. Currently, this process is largely manual, with equipment movement across the fields being set approximately, and control over seed, plant protection, and fertilizer application rates relies primarily on subsequent evaluation of the operator shift's performance. This paper proposes a model for optimizing the oilseed sowing business process. This model reduces process overlaps and omissions, lowers the specific consumption of oilseeds, plant protection products, and fertilizers, reduces fuel and machine time costs, accelerates response to deviations, and improves digital traceability of oilseed sowing.