| Issue |
E3S Web Conf.
Volume 363, 2022
XV International Scientific Conference on Precision Agriculture and Agricultural Machinery Industry “State and Prospects for the Development of Agribusiness - INTERAGROMASH 2022”
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|
|---|---|---|
| Article Number | 03057 | |
| Number of page(s) | 9 | |
| Section | Precision Agriculture. Yield Monitoring and Estimation | |
| DOI | https://doi.org/10.1051/e3sconf/202236303057 | |
| Published online | 14 December 2022 | |
Automated system for identifying fields during grain harvesting using satellite navigation and RFID to meet the new requirements of russian legislation on the traceability of grain batches and products of its processing
1 Carl Geringhoff Vertriebsgesellschaft mbH & Co. KG Porschestr. Ahlen 59277, Germany
2 Don State Technical University, Rostov-on-Don 344003, Russia
* Corresponding author: igor.volkov@list.ru
With the entry into force of the Decree of the Government of the Russian Federation on the traceability of grain, agricultural producers are obliged to promptly enter data on the grain harvested from the fields and the place of its storage into the information system. For guaranteed data entry, it is proposed to implement, in parallel with the existing procedure, a grain receipt accounting system based on tracking the geolocation of the place of grain reloading from the combine into vehicles for transportation with related data. The system includes a software and hardware complex for collecting, storing, processing information during harvesting and transferring the received data to the information system. The hardware part of the system is a device for determining the location, data exchange and an information storage unit, which are installed on vehicles (combine harvesters, harvesters, trucks), weighing stations, grain storage places. The software part includes a database of all objects in the field, fields and grain storage areas, a data processing module according to the described algorithms and an interface for interacting with the information system.
© The Authors, published by EDP Sciences, 2022
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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