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Intelligent Technologies and Robotic Means in Agricultural Production

机译:农业生产中的智能技术和机器人手段

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摘要

To increase production dramatically, it is necessary to implement digital intelligent technologies. With their help, it is possible to achieve a significant increase in labor productivity and crop yields and reduce energy and material costs. Digital machine technologies should be applied in crop growing, livestock breeding, power engineering, and storage and processing of agricultural products. In addition, a comprehensive system for management of agricultural enterprises is required, which will ensure the timely and correct execution of tasks. In digital machines and agricultural technologies, four main areas are distinguished: monitoring of conditions and process parameters, transmission and storage of information, artificial intelligence and cloud technologies, and implementation of management decisions by robotic technical means. The main objects of monitoring are soils, plants, animals, weather and climatic conditions, technical means, and technological processes. Various monitoring tools transmit data in real time to the cloud platform and on the basis of artificial intelligence optimizes technological operations and gives the command to executive mechanisms.
机译:为了显着增加产量,有必要实施数字智能技术。通过帮助,可以实现劳动生产率和作物产量的显着增加,并降低能量和材料成本。数字机器技术应适用于农作物生长,畜牧业养殖,电力工程和农产品的储存和加工。此外,还需要一个综合管理农业企业的制度,这将确保及时和正确执行任务。在数字机器和农业技术方面,区分了四个主要区域:监控条件和流程参数,信息,人工智能和云技术的传输和存储,以及通过机器人技术手段实施管理决策。主要监测对象是土壤,植物,动物,天气和气候条件,技术手段和技术过程。各种监控工具将数据实时传输到云平台,并在人工智能的基础上优化技术操作并为执行机制提供命令。

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