Intelligent agricultural robot control system: structure formation
https://doi.org/10.26897/2687-1149-2023-3-49-56
Abstract
Digital technologies introduced into agriculture are aimed at improving the efficiency of agricultural production. Agricultural robots carrying out technological operations, monitoring the field, crops, or crop yields may reduce their productivity, quality and safety of operation due to the geographical distance from the cloud storage, low bandwidth and network unreliability, significant delays and failures in data transmission. To increase the performance of units with unmanned robotic technical means for agricultural purposes, to ensure the high quality of their technological operations, as well as their safe operation, an intelligent control system using edge computing technologies based on Edge Computing is proposed. During the research, the authors used methods of complex structural-dynamic analysis and an expert-analytical method of information processing. As a result of the research, a structural and functional diagram of an intelligent control system for agricultural units with robotic technical means has been proposed to ensure centralized control of the technological process. Agricultural machines adjust the working tools and their operation process using built-in autonomous control systems that transmit data to the control system to generate commands. The operation of the working tools is adjusted in case of serious failures in the unit operation. The implementation of the Edge Computing concept in digital agriculture will reduce the amount of transmitted information and the load on the data transmission network, without reducing the technological process quality in case of failures in the operation of farm machines and embedded systems.
About the Authors
I. A. Starostin
Federal Scientific Agroengineering Center VIM
Russian Federation
Russian Federation
Ivan A. Starostin, CSc (Eng), Senior Research Engineer
5, 1st Institutskiy Proezd Str., Moscow, 109428
S. A. Davydova
Federal Scientific Agroengineering Center VIM
Russian Federation
Russian Federation
Svetlana A. Davydova, CSc (Eng), Lead Research Engineer
5, 1st Institutskiy Proezd Str., Moscow, 109428
A. V. Eshchin
Federal Scientific Agroengineering Center VIM
Russian Federation
Russian Federation
Aleksandr V. Eshchin, CSc (Eng), Senior Research Engineer
5, 1st Institutskiy Proezd Str., Moscow, 109428
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Review
For citations:
Starostin I.A., Davydova S.A., Eshchin A.V. Intelligent agricultural robot control system: structure formation. Agricultural Engineering (Moscow). 2023;25(3):49-56. (In Russ.) https://doi.org/10.26897/2687-1149-2023-3-49-56
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