- Unstable weather and unexpected work stoppages during tight harvesting periods severely cut farmers’ net profits. LOVOL Intelligent Agriculture has rolled out its proprietary agricultural AI foundation model for large-scale farm operations. This digital smart farming framework shifts agricultural production away from reliance on empirical operation toward data-backed precision management, unlocking full revenue potential for every hectare of farmland.
AI Autonomous Operation: Coordinated Unmanned Equipment Fleet Management
LOVOL’s smart agriculture system centers on unified coordination of self-driving machinery fleets, powered by Beidou positioning and central artificial intelligence control software.
Field trials prove LOVOL’s combine harvesters can perceive real-time crop density and growth status on-site. The machine automatically tweaks internal working parameters to limit grain loss while maintaining high grain cleanliness. After harvesting completes, LOVOL CVT driverless tractors carry out unmanned soil preparation and accurate sowing, lifting overall working efficiency by 20%.
The AI platform collects multi-source data including soil humidity sensors, pest monitoring equipment and aerial drone remote sensing data, then generates integrated soil condition evaluation reports. The AI large model creates customized zone-by-zone variable operation schemes, including ideal sowing quantities and targeted water and fertilizer distribution for each plot.
Verified Economic & Eco-Friendly Performance Indicators
- Crop production volume: Up 10%
- Seed consumption: Cut by 5%
- Pesticide and fertilizer input: Each reduced by 10%
- Farm irrigation water usage: Saved by 50%
Intelligent Data Fault Detection: Comprehensive Inspection System for Farm Equipment
In the past, manually locating complicated electrical and hydraulic failures on farm machinery would take technicians several hours. LOVOL solves this efficiency pain point by supplying after-sales teams with portable smart fault diagnosis devices.
This inspection tool acts like a full-body CT scanner for agricultural machines, scanning circuit lines and all subsidiary components to pinpoint concealed malfunctions in minutes. Relying on objective data instead of blind manual judgment drastically shortens maintenance hours, allowing farmers to spend more time on harvesting and expand finished farmland acreage.