Digital Gateway for Real-Time Field Weighing Operations

Background

Modern grain harvesting relies on a three-link chain: combine harvester – grain cart (GC) – grain truck. High-capacity Liliani grain carts can cut harvesting timelines by 30–40%, yet until recently the weight data they generated remained isolated and analog. Each discharge event was captured by the GC’s weighing system and printed as a paper receipt – receipts that were routinely lost, soaked by rain, or entered into accounting systems manually with significant delays and errors. This eroded operational transparency and placed an unnecessary burden on field and office staff.

Project objectives

The integration project was initiated by the equipment manufacturer. The key objectives were:

• Eliminate the human factor and paper receipts entirely when recording field discharge events.
• Implement automatic vehicle identification: the system must independently determine which combine loaded grain and into which specific grain truck – without any input from the operator.
• Establish a transparent digital data channel to transmit weighing event data from the field directly to the monitoring platform.
• Generate comprehensive reports covering all key parameters for operational accounting: receipt number, field, crop type, weight before and after the operation, and net weight per receipt (delta).

Solution

The Galileosky 7x Plus Ext tracker was selected as the system core, acting as an intelligent digital gateway. Rather than a simple hardware connection, the integration established deep interoperability between the Liliani GC weighing system and the telematics platform, turning the tracker into an onboard data processor.

System architecture and data flow:

• The grain cart’s load cells capture grain weight.
• The onboard controller processes the signal and transmits data via Bluetooth to the cab display.
• The Galileosky tracker connects to the display via RS-232 and receives data for each weighing event.
• Data is transmitted to the monitoring platform and subsequently integrated into enterprise accounting systems.

An Easy Logic script running on the tracker parses the incoming JSON stream in real time, processes it, and forwards structured data to the monitoring server. Via API, the software integrates with 1C accounting and generates consolidated Excel reports for the entire GC fleet in a single click.

At the client’s technical request, the JSON message structure was redesigned to support extended data fields, including vehicle string identifiers and operation status codes.

The Easy Logic script is the intelligence – and the core value – of the entire solution. It performs deep on-device data processing directly on the tracker.

Packet processing logic:

The script monitors the RS-232 port at approximately 400 ms intervals and handles three types of JSON objects:

• Type 0 (Continuous packet): Current weight and auxiliary values.
• Type 1 & 2 (Load/discharge receipt): Contains operation weight, receipt number, and vehicle name.

Result

The system has been successfully deployed across a fleet of 7 Liliani grain carts. Implementation took place at the end of the harvesting season, confirming the stability of the algorithms; full-season statistics will be available after the next harvest.

• Full operational transparency: The dispatcher sees the material flow in real time – receipt number, vehicle ID, crop type, and weight.
• Digital logbook: Reports include complete detail – weight before and after each operation plus the net discharge weight (delta) pulled directly from the weighing terminal. Data in the monitoring system is identical to the printed receipt, eliminating any possibility of manipulation.
• Stronger accountability: Automated event capture eliminates “forgotten receipts” at the most vulnerable stage – from combine to grain truck.
• Operational analytics: Data in AutoGRAF automatically builds the foundation for yield analysis.

Economic impact:

Before the system was deployed, receipt data was entered into the database manually. With each entry taking approximately one minute and a single GC generating an average of 50 operations per day, automating 7 GCs freed up roughly 6 staff hours per day across accounting and dispatch teams. This fully eliminated human-error losses and made reporting available instantly.