Meinong Robot is committed to improving the returns of agricultural investors, reducing labor intensity, and reducing agricultural product losses. Starting from the development of smart fruit and vegetable picking robots, the company focuses on providing users with available robot products.
About MEINONG's vine-fruit harvesting robot: addressing orchard labor shortages driven by workforce aging, MEINONG ROBOT delivers a fully automated vine-fruit picking solution. AI vision enables millimeter-level positioning, 24/7 continuous operation, and integration with modern farm management platforms—for commercial vineyards, kiwifruit blocks and greenhouses worldwide.
The Vine-fruit harvesting robot（藤本水果采摘机器人）targets vine (liana) crops such as grapes, kiwifruit and passion fruit in trellis, pergola and greenhouse layouts. It combines deep learning, machine vision and multi-sensor fusion to detect fruit, assess maturity and harvest gently under variable lighting and foliage occlusion—easing peak-season labor pressure while improving batch consistency and traceability.
Multi-view imaging with temporal reasoning improves stability for clusters, overlaps and partial occlusion. Models and thresholds can be tuned per cultivar and grade standard, with closed-loop data iteration.
A multi-DOF arm with interchangeable end tools supports stem-cutting or twist-pull strategies with controlled contact forces and paths to limit skin damage and drop loss.
Fused localization and perception enable row travel, station keeping and obstacle avoidance; batch metrics can integrate with farm management systems for scheduling and quality traceability.
Reduces maturity variability compared with purely manual crews.
Designed for intensive harvest windows and repetitive tasks that strain human pickers.
Paths and cadence can evolve with typical vine crops, trellis structures and orchard practices.
Specific configurations, end-effectors and throughput targets depend on site assessment; contiguous blocks tend to yield better unit economics and data value.
| Factor | Manual Harvesting | MEINONG Harvesting Robot (X-Picker) | ROI & Business Impact |
|---|---|---|---|
| Daily Output & Speed | 400–600 kg/day per worker; afternoon fatigue causes notable slowdown | 6,000–7,500 kg/day per unit; ~10 seconds per cluster cycle | 6–10x productivity boost, locks in optimal Brix window |
| Nighttime Continuous Harvesting | Low visibility, safety hazards, virtually impossible to organize at scale | Integrated active lighting & stereo vision for full 24/7 continuous operation | Cool night picking reduces fruit respiration, extending shelf-life by 3–5 days |
| Fruit Damage & Drop Loss | Rough handling during rush shifts leads to 8%–15% damage/loss | Visual servoing + compliant stem-cutting gripper keeps damage below 5% | Direct loss reduction yielding higher premium pack-out rates |
| Labor Shortage & Cost | Aging rural workforce, severe peak labor shortages with soaring wage rates | Requires only 1 field safety operator per machine, saving >50% labor dependency | Eliminates peak-season work stoppage risks and lowers injury claims |
| Dimension | Vine-fruit harvesting robot — specification |
|---|---|
| Core algorithm | Deep learning with multi-sensor fusion for millimeter-level detection and positioning. |
| Picking strategy | Compliant multi-DOF arm with crop-specific end-effectors. |
| Operating efficiency | Supports high-volume, 6,000–7,500 kg/day, ~10s per cluster. |
| Damage control | Compliant cutting and soft handling keeps fruit damage strictly under 5%. |
| Digital management | Production and QC traceability with farm management platform integration. |