Abstract—When studying various technologies and their synthesis, a holistic system-oriented approach is preferable, which provides a solution to the problem of the systems under study for various conditions. It has been established that the productivity in recent years in Siberia increases without development; an increase in costs per unit area leads to an increase in yield but does not reduce the cost per unit of production. To increase the yield, sophistication is necessary: the modernization of the proposed technological solutions through the use of agricultural technologies of various levels of intensity based on new scientific and technical achievements. The results of the work made it possible to obtain research methods for agricultural technologies for managing the productivity of agrocenoses (using the example of the cultivation of grain crops in Siberia). Limited resources often do not allow using more efficient technologies of different levels of intensity to increase the yield of grain crops. The use of various methods of mathematical analysis, probability theory, and linear programming methods, based on the data of experimental studies carried out for irrigated and rainfed agriculture, made it possible to develop algorithms and nomograms to search for technologies that provide more efficient ways of cultivating grain crops. It is known that the yield is an integral indicator of the efficiency of agriculture. The random nature of this indicator requires the use of different distribution laws. The most effective, from our point of view, was the use of Euler functions, in particular, the Euler’s beta function. This made it possible, using the example of experimental data for the average yield of grain crops in the amount of 30 c/ha (which is the generally accepted average world yield for grain crops), to construct effective algorithms for choosing sets of intensity levels of technologies for cultivating agrocenoses. The cost function is determined, the value of which is in good agreement with the experimental data (costs) obtained for irrigated agriculture. It is generally recommended to consider four intensity levels of agricultural technologies. However, for the conditions of Western Siberia (according to Siberian Federal Scientific Center of Agrobiotechnology, Russian Academy of Sciences), it is recommended to consider three levels.

摘要—在研究各种技术及其综合时，最好采用面向系统的整体方法，该方法可以解决各种条件下正在研究的系统的问题。业已确定，近年来西伯利亚的生产率没有发展就可以提高；每单位面积成本的增加导致产量的增加，但不会降低每单位生产的成本。为了提高产量，必须要有先进的技术：在新的科学技术成果的基础上，通过使用各种强度的农业技术，对拟议的技术解决方案进行现代化改造。工作的结果使人们有可能获得用于管理农作物产量的农业技术研究方法（以西伯利亚谷物作物的种植为例）。有限的资源通常不允许使用强度不同的效率更高的技术来增加粮食作物的产量。基于对灌溉和雨养农业进行的实验研究数据，使用各种数学分析方法，概率论和线性规划方法，可以开发算法和列线图来寻找提供更有效方法的技术。种植粮食作物。众所周知，产量是农业效率的重要指标。该指标的随机性要求使用不同的分配规律。从我们的角度来看，最有效的方法是使用Euler函数，尤其是Euler的beta函数。这使使用30 c / ha的谷物作物平均产量的实验数据示例（这是公认的谷物作物的世界平均产量）成为可能，从而构建了用于选择强度水平集的有效算法。种植农杆菌的技术。确定成本函数，其值与为灌溉农业获得的实验数据（成本）非常吻合。通常建议考虑农业技术的四个强度等级。然而，