Abstract
<jats:p>The current state of agricultural machinery is characterized by the presence of automation equipment that confirms the modern technical level. Modern grain harvesters are equipped with a computer system for precision farming. The first stage is yield mapping; the second stage is the further implementation of a precision farming system using modern information technologies based on artificial intelligence. However, the second option for introducing modern information technologies for controlling the technological process of grain harvesters has not yet found its application. In a simplified form, a simple example is considered using methods and tools of a computer solution, which allows you to control the technological process of grain harvesters in automatic mode. As initial data, statistical data taken from official sources based on the results of tests on direct wheat harvesting of a fourth-class grain harvester in the “6th zone” (KubNIITiM) were used. Based on statistical data, a mathematical model of the technological process of a grain harvester was formed. Using modern information technologies, the possibility of automatically controlling the technological process of a grain harvester when changing the parameters of the field's agricultural background without human intervention has been demonstrated. The task of science remains only in solving the issue of monitoring the current values of the field's agricultural background for automatically entering them into the hog computer of a combine harvester.</jats:p> <jats:p>农业机械的当前状态的特点是可用的自动化工具 证实了现代技术水平。 现代联合收割机配备了用于精确耕作的计算机系统。 作为第一阶段 它是作物产量映射 第二阶段是利用基于人工智能的现代信息技术进一步实施精确农业系统。 然而 引入现代信息技术用于管理联合收割机技术过程的第二种选择尚未找到其应用。 在简化的形式中 使用计算机解决方案的方法和工具考虑了一个简单的例子 该解决方案允许您以自动模式控制联合收割机的技术过程。 最初使用的数据是根据第6区第四类联合收割机直接小麦收获试验结果从官方来源获得的统计数据(库班试验拖拉机和农业机械科学研究所)。 根据统计数据 形成了联合收割机工艺过程的数学模型。 使用现代信息技术 在没有人为干预的情况下改变农业领域的参数时 展示了联合收割机技术过程自动控制的可能性。 科学的任务仍然只是解决监测农业领域的当前值以自动输入联合收割机的hog计算机的问题。 </jats:p>