Labor Crisis01
−40%
Rural labor decline over 10 years
Training a skilled tractor operator takes 5–8 years. The labor shortage keeps worsening, and traditional farming models are no longer sustainable.
AGINNO · Embodied Intelligence Farming
Upgrade Traditional
Farm Machinery into
Fully Autonomous
Built on the self-developed SAE L4 AGINNO OS embodied intelligence operating system, fusing 3D BEV spatiotemporal networks with 4D temporal occupancy networks to create an unmanned farming system where AI meets agronomy.
SAE L4
Fully Autonomous
±2.5cm
Path-Tracking Accuracy
15km/h
Max Operating Speed
90%+
Brand Coverage
Industry Pain PointsTraditional Farming
Traditional Farming
Faces a Triple Challenge
Structural rural labor shortage, high false-braking rates in traditional solutions, and a fundamental disconnect between machinery and agronomy-smart agriculture must solve all three at the root.
False Braking02
High
False-braking rate in traditional solutions
Simple hardware stacking causes micron-level deformation under vibration, shifting camera extrinsics and triggering false brakes—while retrofitting damages the original vehicle structure.
Disconnect03
L1/L2
Current driver-assist levels
Pure straight-line navigation cannot sense crop growth or dynamically control implements. Machinery and agronomy remain fundamentally disconnected, failing to deliver real yield gains.
Market OpportunityPolicy, Technology, Demand
Policy, Technology, Demand
A Historic Window of Convergence
Global agriculture is undergoing a profound transformation toward smart farming. China's Digital Agriculture & Rural Development Plan (2019–2025) explicitly promotes IoT, big data, and AI in agricultural production, with machinery purchase subsidies tilting toward intelligent equipment.
480.6B USD
Global ag robot market by 2030
720B RMB
Domestic smart machinery market
30%
Smart machinery purchase subsidy
-90%
AI inference cost reduction
-60%
New energy & sensor cost reduction
-40%
Rural labor decline over 10 years
Differentiation
Full-Chain Native Integration, Defining the New Standard for Autonomous Driving
Traditional solutions rely on external hardware stacking and fragmented upgrades-essentially retrofits. AGINNO rebuilds from the ground up: a BEV pure-vision brain + standardized gateway delivering a complete unmanned solution in one step.
Fragmented · Destructive
Traditional
Traditional Retrofit
- External mechanical friction steering wheel, jittery and imprecise
- Damages original hydraulic lines, forcibly splicing in electronic hydraulic valves
- Multi-camera 2D pixel stitching, micron-level extrinsic drift
- 16 external cameras on the vehicle, laying in-vehicle Ethernet
- Requires multiple add-on perception packs, gradual upgrades
Native Integration · 100% Non-destructive
AGINNO
AGINNO One-Step Solution
- Standardized bus-bridge gateway, CAN direct to drive-by-wire
- 100% non-destructive install, no damage to original wiring or structure
- BEV pure-vision 3D spatiotemporal sandbox, vibration and dust resistant
- Just 6 HD cameras, standard industrial bus interface
- Full-chain native integration, one-step delivery of full autonomy
AGINNO autonomous upgrade kit vs traditional retrofit - international solutions full comparison
The SolutionOne System,
One System,
Redefining Unmanned Field Operations
From perception and decision to execution, from single vehicle to fleet to cloud—AGINNO closes the bidirectional data loop between vehicle, implement, and agronomy, defining the new standard for autonomous driving.
Smart machinery field operation trajectory — aerial view
01
AGINNO OS · Embodied Intelligence
Closing the bidirectional data loop between vehicle, implement, and agronomy. Fuses 3D BEV spatiotemporal networks with 4D temporal occupancy networks, directly controlling PTO, hitch, and hydraulics via a automotive-grade domain controller.
- 3D BEV Spatiotemporal Fusion
- 4D Temporal Occupancy Network
- Automotive AI Domain Controller
02
AGINNO Inside Empowerment Model
Providing OEMs with standard domain controllers and software-hardware kits (pre-installed), and offering unmanned operation services to farming service companies and large-scale state farms (retrofit), with 3-month rapid pre-installation adaptation.
- OEM Pre-installed Kit
- Farming Service Retrofit
- 3-Month Rapid Adaptation
03
Cloud Fleet OS
Cloud-based remote dispatch, trajectory replay, geofencing, and one-operator-multi-machine grid management. Shadow-mode data OTA enables global upgrades—one improvement benefits the entire fleet.
- Multi-Machine Dispatch
- Geofencing
- Shadow-Mode OTA
System CompositionFive Modules,
Five Modules,
One Autonomous Machine
From drive-by-wire chassis to cloud redundancy, the AGINNO autonomous upgrade kit comprises five core modules-native end-to-end integration, no more retrofits.
Visual NavigationFused GNSS+IMU Multi-Source PositioningTerrain Adaptive Compensation±2cm Operation Accuracy0.5–25 km/h Operating SpeedRemote UpgradeRemote DebuggingSimple Operation Interface
AGINNO customized sensor layout for unmanned operations
Autonomous upgrade kit system composition overview
01
Intelligent Drive-by-Wire Chassis
Full drive-by-wire conversion based on high-HP CVT chassis. Powerful, supports remote start/stop and autonomous operation.
02
Centimeter-Level Integrated Navigation
RTK-GNSS + high-performance IMU for ±2.5cm path tracking. Works without network, supports geofencing-no crop damage, no boundary breaches.
03
Omnidirectional Environment Perception
360° vision + LiDAR (optional). AI identifies people, livestock, and obstacles for autonomous avoidance and all-weather operation.
04
Central Decision Brain
Built-in AI domain controller for path planning, auto-correction, and agronomic decisions. Supports OTA remote upgrades.
05
Cloud Control & Safety Redundancy
Mobile/web cloud platform for remote task dispatch and video monitoring. Triple-redundant emergency stop, auto-brake on network/power loss, safety-compliant.
Product MatrixThree Core Solutions,
Three Core Solutions,
Full-Scenario Autonomy
Built on the AGINNO OS, extending into three product lines-wheeled pre-installed, tracked farming service, and embodied robots-matching different customers and operating scenarios.
Solution 01
AGINNO Inside · Hardware + License
Wheeled Pre-installed Line
Rapid scaling, immediate cash flow
Integrated software-hardware kit: automotive-grade high-compute AI domain controller + 6-channel HD high-speed cameras + display terminal + ISOBUS universal gateway. Covers 50–500 HP wheeled tractors and harvesters across tillage, planting, crop protection, and harvesting.
- Rapid OEM delivery: 3-month adaptation, breaking international monopoly
- Cross-brand compatibility: covering 90%+ of global commercial machinery brands
- High-speed operation: supports 15 km/h, daily efficiency +25%
Solution 02
Farming Service · Validating Business Loop
Tracked Farming Service Line
Validating the service model, locking large-scale state farm orders
Tracked unmanned tractor/operation platform + grid-dispatch Fleet OS. For muddy paddy fields, hilly terrain, and large-scale state farms (Xinjiang cotton/soybean, Northeast reclamation), tackling severe working conditions.
- Micro-terrain warning: 10cm-level pit/sinkhole detection, false-stop rate −90%
- All-weather operation: working hours extended from 10h to 24h, per-mu labor cost −75%+
- Xinjiang farming service project entering 90%+ confirmation stage
Solution 03
Sim to Real · Premium Hardware + License
Paddy Weeder / ZhiXiaoNiu Embodied Robot
High margin, disrupting traditional labor
End-to-end AI sim-to-real transfer. The paddy weeding robot precisely identifies weeds and auto-avoids seedlings; the ZhiXiaoNiu (30 HP, 14.5kWh battery) covers 6 scenarios in one machine.
- Paddy weeding: one robot replaces 8–10 workers/day, payback in 0.295 years
- ZhiXiaoNiu: rotary tillage / ridging / snow clearing / sweeping / weeding / spraying
- Business model: ~20% hardware margin, 80% License subscription margin
Core TechnologyFrom Perception to Execution,
From Perception to Execution,
Full-Stack Self-Developed
Cross-applying 3D BEV and 4D temporal occupancy networks from autonomous driving to agriculture, achieving efficient multi-scenario adaptation with a minimalist hardware architecture.
01
BEV Pure-Vision Perception Brain
Just 6 automotive-grade HD cameras reconstruct the full 360° 3D space around the vehicle. Using the chassis center as origin, 2D pixel features are implicitly transformed into 3D BEV features, fused across space and time on a unified bird's-eye-view sandbox. Even in featureless open fields, it locks onto surface features in milliseconds.
−60%
Fewer hardware parts
−70%
Wiring complexity
−45%
System power draw
8MP
Front Cameras 1/2
5MP
Rear/Implement 3/4
5MP
L/R Surround 5/6
02
4D Temporal Occupancy Network
For extreme unstructured conditions—high dust, violent vibration, muddy occlusion—a spatiotemporal correlation model with temporal memory filters transient noise and recognizes all-terrain micro-geomorphology.
−90%
Field false-stop rate
≥10cm
Zero missed hidden hazards
80%↑
Complex terrain stability
03
Automotive AI Domain Controller
100–200 TOPS dense compute, end-to-end latency ≤80ms. Full aluminum fin passive cooling, fanless sealed design, IP69K protection—impervious to mud, dust, and high-pressure washing.
≤80ms
End-to-end latency
<80W
System power
IP69K
Protection rating
04
ISOBUS Standard Gateway
The standardized bus-bridge gateway acts as a protocol translator, directly connecting to the vehicle's drive-by-wire system via CAN, penetrating the throttle, steering, hydraulic, and powertrain ECUs. Fully compatible with ISOBUS (ISO 11783), enabling seamless cross-brand coordination. ≤80ms link latency eliminates trajectory divergence and wandering at 15 km/h.
100%
Non-destructive install
ISO 11783
International standard
0.5s
Fail-safe response
Adaptive Depth/Pressure Control
Reads real-time implement data, dynamically adjusting operating depth and hydraulic downforce based on terrain, soil hardness, and preset agronomic standards.
Smart Loss Fuse (0.5s)
Detects implement jams, seeding blockages, fertilizer/pesticide cutoffs-triggers full-vehicle Fail-Safe stop within 0.5s, with synchronized cloud and terminal alerts.
05
L4 Fully Autonomous Loop
Boundary-free global path generation + high-precision RTK and vision fusion positioning, enabling predictive obstacle avoidance, dynamic safety corridor recalculation, automatic fault tolerance, and remote expert diagnostic OTA.
±2.5cm
Path-tracking accuracy
15km/h
Max operating speed
360°
Zero blind-spot sensing
SENSOR COVERAGE
Omnidirectional Sensing - Centimeter Boundaries
6 surround cameras + mmWave radar + RTK fusion positioning build a 360° zero-blind-spot perception field. Forward long-range detection, surround near-field fill, and RTK centimeter absolute positioning-three guarantees for ±2cm accuracy and all-condition safety redundancy.
360°
Zero blind spot
±2cm
Operation accuracy
6+1
Camera + radar redundancy
4D TEMPORAL OCCUPANCY
Temporal Memory + Micro-Terrain Recognition
For extreme unstructured conditions-high dust, violent vibration, muddy occlusion-a spatiotemporal correlation model with temporal memory filters transient noise and recognizes all-terrain micro-geomorphology, reducing field false-stop rate by 90%.
−90%
False-stop rate
≥10cm
Zero missed hazards
80%↑
Complex terrain stability
Technology Cross-Comparison
vs Traditional third-party - John Deere
| Dimension | Traditional | John Deere | AGINNO BEV |
|---|---|---|---|
| Full-chain latency | 500–1200ms | ~100ms | ≤80ms Hard real-time deterministic latency |
| Sensor footprint | 4–8 cameras + external LiDAR | 16 cameras + dedicated Ethernet | 6 HD cameras Vehicle cost −60% |
| Max operating speed | ≤5 km/h | 12 km/h | 15 km/h Daily acreage +25% |
| Vibration & dust resistance | Poor (false-stop prone) | Moderate (geometry drift) | Excellent (4D temporal memory) False-stop rate −90% |
| Micro-terrain detection | Cannot detect depressions | 15cm vertical targets | 10cm pits/sinkholes Protecting heavy assets |
| Implement integration (ISOBUS) | Navigation only, blind implements | Deep but locked ecosystem | Full ISOBUS compatibility Seamless cross-brand bridging |
| Multi-machine overlap | 10–20cm missed strips | Machine Sync system | Dynamic RTK + vision fusion ≤2.5cm Zero grain spillage at unloading |
Commercial ProgressBeyond MVP,
Beyond MVP,
Entering Mass Production
In Q4 2024, completed China's first AI-decision + unmanned-equipment closed-loop demonstration at the Shandong half-ton-per-mu grain base, with 15% average yield increase and 33.1% peak. Now beyond MVP, entering commercial deployment and mass production.
The autonomous upgrade kit is not a luxury consumer electronic, but a high-turnover productivity tool-denser work-hour utilization, lower fuel consumption, and extremely high path-overlap consistency let farms recover costs within the first operating season.
2,000mu
Pure unmanned operation validated
33.1%
Yield increase at Shandong base
15%
Average yield increase
MillionsRMB
Commercial pre-orders
1:4
Farm labor ratio optimized
−75%
Per-mu labor cost
24H
Day-Night Nonstop
Beyond daylight limits, seizing golden farming windows
100%
No Human-Fatigue Errors
±2.5cm accuracy continuously locked
-15%
Production Input Loss
Optimized paths and headland turns
1:4
Labor Ratio Optimization
One operator commanding multiple machines across plots
Industry Moat
Top 2 in China
Mastering Weichai Lovol high-end CVT machinery communication protocol
Joint Definition
Pre-install mass production with Jiufu, Jifeng and other leading OEMs
National Standard
Led drafting of China's first intelligent agricultural machinery national standard (2025)
In past years, spring plowing meant hiring two skilled operators at premium wages for shifts. After installing the precision upgrade kit this year, I watched the tractor work on its own via tablet from my office-the operation quality is even better than manual. Just the operator wages and fuel saved from fewer overlaps and missed strips recovered nearly half the retrofit hardware investment in a single season.
- Real farm customer feedback - Thousand-mu soybean plowing
Field FootagePaddy Weeding Robot
Paddy Weeding Robot
Sim to Real in Action
End-to-end AI sim-to-real transfer, precisely identifying paddy weeds while auto-avoiding seedlings. One robot replaces 8–10 workers per day, with a payback period of just 0.295 years.
8–10
Workers replaced/day
0.295
Year payback
Sim to Real
End-to-end transfer
Dive Into Every
Technical Detail of AGINNO
From 16 core functions to full performance specs, from hardware configuration to installation and delivery-explore the complete technical documentation of the AGINNO autonomous system.