Meinong Robot: AI Achieves Better Agriculture

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.

Flagship Product

Vine-fruit harvesting robot

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.

CoreAI Vision
Precisionmm-level
Use CaseVine Fruit
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Product Overview

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.

Vine-fruit harvesting robot

Core Technology

1. Fruit perception & policy

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.

2. Soft harvesting execution

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.

3. Row operations & orchestration

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.

Highlights

1. More uniform commercial batches

Reduces maturity variability compared with purely manual crews.

2. Continuous harvesting capability

Designed for intensive harvest windows and repetitive tasks that strain human pickers.

3. Extensible workflows

Paths and cadence can evolve with typical vine crops, trellis structures and orchard practices.

Deployment note

Specific configurations, end-effectors and throughput targets depend on site assessment; contiguous blocks tend to yield better unit economics and data value.

Technical & Operational Specifications

DimensionVine-fruit harvesting robot — specification
Core algorithmDeep learning with multi-sensor fusion for millimeter-level detection and positioning.
Picking strategyCompliant multi-DOF arm with crop-specific end-effectors.
Operating efficiencySupports high-volume, 24/7 automated harvesting during peak windows.
Digital managementProduction and QC traceability with farm management platform integration.

Frequently Asked Questions

QWhich crops and growing systems does the MEINONG vine-fruit picking robot support?
A
It is built for vine (liana) crops such as grapes, kiwifruit and passion fruit, and fits trellis, pergola and greenhouse cultivation layouts.
QHow does the robot handle foliage occlusion and overlapping fruit clusters?
A
The system combines deep learning, machine vision and multi-sensor fusion. Multi-view imaging with temporal reasoning enables millimeter-level recognition and maturity assessment under variable light, clusters, overlaps and canopy occlusion.
QWill the robot mechanically damage fruit? How does MEINONG prevent loss?
A
MEINONG uses a multi-DOF arm with compliant end tools. Custom stem-cutting or twist-pull strategies control contact force and motion paths to minimize skin damage and drop loss.