The adjustable field robot platform for high-stem crops is a specialized robotic platform developed for the agricultural sector. Unlike general-purpose platforms, it emphasizes robust design and the ability to gather phenotypic data throughout the entire growth cycle. Its strength lies in combining flexibility with load-bearing capacity and expanding the capability to collect data at greater heights, providing users with extensive crop adaptability and broader operational capabilities.
Technical parameter
| Dimensions | ≤2*1.8*1.3m |
| Mobility | Four-wheel independent drive and independent steering |
| Propulsion:Propulsion | Pure electri |
| Navigation | Satellite + vision fusion navigation, navigation accuracy within ±10 cm |
Equipped with phenotype sensor | LiDAR. Hyperspectral. Thermal infrared. Visible light optional |
| Battery Life | Operates continuously for up to 5 hours (depending on battery capacity). |
| Operating speed | 0-1 m/s. |
Working spee | ＜3hours/acre |
Off-ground height | Targets crops not exceeding 1.5 meters in height (customizable), including corn, sorghum, sugarcane, wheat, rice, rapeseed, cotton, soybeans, and others. |
Functional Characteristics
Precise harvest of fruits Binocular stereo vision accurately identifies the size, color, shape, maturity and picking position of fruits and vegetables that can be picked. Lightweight multi-degree of freedom robot arm, easy to complete path planning, picking and basket placing tasks; The flexible picker can grasp the picking position of fruits and vegetables by adaptive control without hurting the fruit.
Environmental intelligent perception and autonomous obstacle avoidance Through continuous scanning, the ring 360° radar can detect the operating environment and obstacle information in advance, and adjust the walking strategy according to the environment in time to achieve autonomous obstacle avoidance.
Multi-terrain operation and navigation According to the diversity of agricultural terrain and materials, we provide a variety of walking systems and driving modes of track, wheel or track to meet the requirements of different scenes. Path planning and navigation with visual, laser or magnetic induction sensors; With the help of dynamic matching and structural optimization, it can easily climb and overcome obstacles.
New model of agricultural machinery and agronomic integration The intelligent cultivation system for crops is built around selective harvesting, combining the interaction of crop varieties, cultivation modes and robots.