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Smart Agriculture
Precision agriculture, cost reduction, unmanned operations, data-driven decisions
Precision · Unmanned · Data-driven · Sustainable
Precision robotic solutions for modern agriculture. Mobile platforms with multi-spectral sensors for crop phenotyping, combined with robotic arms for selective harvesting, covering orchard inspection, field data collection and more, reducing labor costs by over 40%.
Policy Background: Agricultural Modernization Strategy
The 15th Five-Year Plan positions smart agriculture as a core driver of agricultural modernization. The Digital Rural Development Strategy calls for accelerating agricultural robot and smart equipment deployment across planting, breeding, and processing. The 2026 Central Document No.1 explicitly requires advancing key agricultural technology R&D and smart farm equipment promotion.
Key Policy Signals: Smart agriculture included in 15th Five-Year agricultural modernization projects · Agricultural robots listed in national key R&D programs · 500+ smart agriculture demonstration zones planned · Agricultural labor force declining by 3 million annually · Central fiscal subsidies now cover intelligent farm equipment
According to MarketsandMarkets, the global agricultural robot market is projected to grow from approximately USD 17.8 billion in 2024 to USD 56.3 billion by 2030, at 26.0% CAGR. China's agricultural robot market reached approximately 3.4 billion yuan in 2024, growing 3.8x from 2019-2024 at 29.8% CAGR, becoming one of the fastest-growing markets globally.
Industry Background: From Weather-Dependent to Data-Driven Farming
Chinese agriculture faces three structural challenges: aging labor force (average age over 55 with continued youth exodus), land fragmentation hindering scale operations, and environmental pressure from excessive fertilizer and pesticide use. Smart agriculture, driven by data and robots, is redefining how food is produced.
China's smart agriculture market exceeded 68 billion yuan in 2025 and is projected to reach 150 billion yuan by 2030. With maturing BeiDou navigation, 5G, and AI vision technologies, agricultural robots are moving from research to commercial scale across orchards, tea gardens, greenhouses, and open fields.
Core Equipment
Orchard Inspection Robot
CoreBased on Hunter 2.0 Ackermann chassis with multi-spectral cameras and 3D LiDAR, autonomous navigation in narrow orchard rows, real-time monitoring of fruit maturity, pests, and tree vigor.
Field Data Platform
CoreScout Mini compact chassis with Topgear multi-modal sensors, auto-collects crop phenotypic data (plant height, leaf area, NDVI) on preset paths across open fields and greenhouses.
Selective Harvesting System
PlannedForce-controlled arm with soft gripper, vision AI identifies fruit maturity for precise non-destructive harvesting. Force sensors ensure 98%+ fruit integrity.
Agricultural Data Platform
Core PlatformPhenotypic data auto-uploads to cloud with GIS visualization, NDVI heatmaps, growth trend analysis, and yield prediction for data-driven farming decisions.
Application Scenarios
Agricultural robots deliver value by automating standardized, highly repetitive, labor-intensive farm operations, freeing farmers to focus on management and decision-making:
| Scenario | Specific Operations | Smart Equipment Capability |
|---|---|---|
| Orchard Inspection | Row-by-row patrol, fruit maturity detection, early pest/disease warning | Ackermann chassis for narrow rows, multi-spectral + depth vision assesses each tree's health, 30+ acres daily coverage. |
| Crop Phenotyping | Plant height, leaf area, NDVI, canopy density, stem diameter | Synced multi-spectral + LiDAR acquisition, centimeter-precision 3D crop models, auto-data archiving and analysis. |
| Variable-Rate Fertilization | Prescription map-based zone variable fertilization, targeted top-dressing | Multi-spectral data generates fertilization prescriptions, robots apply precisely per map, reducing fertilizer by 20%-30%. |
| Pest Monitoring | Leaf lesion identification, pest counting, spread trend prediction | High-res vision AI identifies pest/disease types and severity, generates treatment recommendations and targeted spraying plans. |
| Selective Harvesting | Ripe fruit identification, non-destructive picking, quality grading | Vision AI judges fruit maturity, force-controlled arm gentle gripping, 2-3x manual efficiency, <2% damage rate. |
| Greenhouse Management | Temperature/humidity monitoring, light adjustment, CO2 management | Compact chassis autonomously patrols greenhouses, real-time environmental monitoring linked to ventilation and irrigation auto-adjustment. |
From single-scenario robotization to full-chain intelligent management, smart agriculture is redefining who farms and how farming is done.
Year-Round Intelligent Operations
Agricultural robots operate throughout the complete farming cycle — spring sowing, summer management, autumn harvest, and winter analysis:
1
Spring · Sowing
Soil testing → Precision sowing → Seedling monitoring
Robot collects soil data for fertilization prescriptions, precision seeding, vision AI monitors emergence rate and seedling status
2
Summer · Growth Mgmt
Patrol monitoring → Variable fertilization → Pest control → Irrigation scheduling
Daily patrol collects phenotypic data, multi-spectral prescriptions guide variable fertilization, AI targeted spraying reduces pesticides 40%
3
Autumn · Harvest
Maturity assessment → Selective picking → Quality grading → Yield statistics
Vision AI assesses maturity, force-controlled arm non-destructive picking, auto-grading and sorting, data platform generates yield reports
4
Winter · Data Analysis
Annual data aggregation → Trend analysis → Next-year planning → Model optimization
Data platform analyzes annual growth curves and yield correlations, AI models optimize fertilization/irrigation/harvest strategies
Case Studies
果园自主巡检与采摘
阿克曼转向底盘搭载视觉传感器在果园行间自主导航，实时监测果实成熟度、病虫害情况。配合力控机械臂与柔性夹爪完成选择性无损采摘，降低人力成本40%以上。
Products Used
Hunter 2.0Gen3机械臂OS1激光雷达
大田作物表型数据采集
无人移动平台搭载多光谱传感器，按预设路径自动采集作物生长数据，包括株高、叶面积、NDVI等指标，为精准施肥和灌溉提供数据支撑。
Products Used
Scout MiniIQR TopgearOSDome激光雷达
精准变量施肥与植保
基于多光谱数据生成处方图，移动机器人按处方图精准变量施肥，化肥用量减少20%-30%。AI视觉靶向喷药，农药用量降低40%以上，降本增效的同时保护生态环境。
Products Used
Scout 2.0IQR TopgearOS1激光雷达
智能温室环境监测
紧凑型移动底盘在温室中自主巡航，实时监测温湿度、光照、CO2浓度等环境参数，异常自动预警。搭配机械臂实现苗期管理自动化，提升温室作物产量15%-20%。
Products Used
LIMOIQR TopgearPiPER机械臂
Four Core Values
👥
Dramatically Reduce Labor Dependency
A single inspection robot covers daily patrol of 30+ acres of orchards, replacing 3-5 patrol workers. Selective harvesting achieves 2-3x manual efficiency, effectively addressing seasonal labor shortages.
🎯
Precision Operations, Less Input More Output
Multi-spectral data-driven variable-rate fertilization reduces fertilizer use by 20%-30%. Vision AI targeted spraying cuts pesticide use by over 40%, lowering costs while protecting the environment.
📊
Data-Driven Scientific Decisions
Automatically collect phenotypic data including plant height, leaf area, NDVI, and fruit maturity to build crop growth databases. Data analytics guide irrigation, fertilization, and harvest decisions — from experience-based to science-based farming.
🍎
Improved Produce Quality
Non-destructive detection technology enables real-time grading and sorting, ensuring harvest quality consistency. Standardized workflows reduce mechanical damage, improving marketability by 15%-20%.
Technical Advantages
Hardcore technology for the field
Agricultural robots face unique challenges — unstructured field environments, variable lighting and weather, and delicate crop targets. Our solutions are deeply optimized for agricultural scenarios:
🚜
Multi-Terrain Adaptability
Ackermann steering chassis for narrow orchard rows, differential drive for flat fields, tracked chassis for muddy terrain. IP54+ protection for outdoor rain, high temperature, and high humidity conditions.
📡
Agriculture-Specific Sensing
Multi-spectral cameras capture visible + near-infrared bands for NDVI/NDRE vegetation indices. 3D LiDAR builds tree canopy models for precise fruit location and maturity detection.
🤲
Gentle Force-Controlled Operations
Force-controlled robot arms with soft grippers enable non-destructive fruit harvesting. Force sensors precisely control gripping force, ensuring post-harvest fruit integrity above 98%.
☁️
Open Data Platform
Phenotypic data auto-uploads to cloud platform supporting GIS visualization, time-series analysis, and yield prediction. API interfaces integrate with existing Farm Management Systems (FMS) and agricultural IoT platforms.
Core Capabilities:
多地形底盘多光谱感知精准变量作业力控采摘北斗导航数据平台
Make Robots the Next Generation Farm Workforce
Start with one inspection robot to begin your smart agriculture journey
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