Intelligent Technologies and Robotic Means in Agricultural Production

Abstract

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.