Agricultural Machinery

Applications:

Farms, individual entrepreneurs, and other organizations with their own (or hired) transport and machinery for completing the full cycle of agricultural operations. Monitoring ensures efficient task execution and reduces the cost of agricultural production.

KEY TASKS

• Monitoring the location of transport, agricultural machinery, trailers, and implements;
• Tracking equipment within designated fields, entry/exit times, and locations for harvesting, loading, and unloading crops;
• Controlling the adherence to specified operational speeds during fieldwork;
• Tracking the movement of agricultural machinery on fields and evaluating the quality and extent of work performed (e.g., edge coverage, processed area);
• Monitoring the operating modes of various machinery components (e.g., thresher drum, winnower, combine knives, fertilizer tanks) and changes in the combine’s grain tank level;
• Controlling seed placement depth during sowing;
• Recording and managing vehicle mileage and machine working hours;
• Monitoring and managing fuel consumption, including refueling (drainage) locations, times, and events;
• Monitoring driving style and behavior of vehicle and agricultural machinery operators;
• Obtaining objective data on machinery usage, as well as the quality and volume of completed fieldwork;
• Planning, creating, and utilizing field maps and their history;
• Real-time monitoring of agricultural machinery operations and task performance;
• Coordinating agricultural machinery movements and tasks across fields;
• Efficiently managing the agricultural fleet in real-time;
• Assessing fuel levels and consumption in machinery and vehicles;
• Ensuring compliance with technological speeds during agricultural operations;
• Generating reports on fleet and machinery operations with data export to Excel, 1C, and other formats.

RESULTS

The implementation of GPS/GLONASS monitoring for transport and agricultural machinery will allow you to:

• Improve the quality of agricultural operations;
• Reduce the cost of agricultural production;
• Plan and control fieldwork schedules in real-time;
• Complete agricultural tasks (e.g., plowing, sowing, harvesting) on time;
• Measure precise field boundaries and determine land areas;
• Reduce overlaps during field processing by up to 30%;
• Minimize fuel consumption and prevent theft of seeds, fertilizers, and crops;
• Eliminate non-targeted use, idle time, and unnecessary vehicle trips;
• Reduce fuel, maintenance, and transportation costs by up to 40%, as well as labor, insurance, and other expenses;
• Prevent fraud with false fuel receipts and tampered odometer readings;
• Improve driver discipline and driving behavior;
• Automate management and accounting processes using objective satellite monitoring data.