Traceable issues
Nexeed · AI Operating System for Controlled-environment Agriculture
NexeedAI Operating System for Controlled-environment Agriculture
Nexeed is neither a single hardware product nor a standalone software platform. It is an AI operating system for controlled-environment agriculture, built on trusted field data, an agricultural AI hub, and an AI-native operations workspace for parks, enterprise farms, and vocational education.
Reusable experience
Intelligence · Work · Industry Edition
Nongxiaoxin WorkAgents · AI-native operations workspaceSecure isolation
Processed today42,850Credit secured
WIP space usage87.4%Level-5 storage mapped
Total loss rate1.12%Auto cost allocation
What AI does:It does not automatically control the greenhouse or replace technician judgment. It combines historical records, environmental changes, order demand, and crop anomalies to warn when delivery or quality may be affected, so teams can review earlier.
Intelligent Sensing
Collect climate, crop, and device data in real time to build full-field greenhouse awareness.
Intelligent Decision-making
Use multi-agent analysis to generate and continuously optimize greenhouse strategies.
Execution Control
Connect climate control, fertigation, crop protection, and robotic equipment for precise automated execution.
Energy Efficiency
Integrate PV, storage, and energy management to keep greenhouses stable and efficient.
You probably deal with these issues every day
The issue is not poor growing. It is money lost in records that are unclear, missing, or impossible to reconcile.
Paper notes, Excel, chat groups, and verbal sync can look sufficient until month-end reconciliation, customer pressure, stocktakes, and loss accountability hit. The first problem to solve is not futuristic tech, but getting the numbers straight.
It is not hard to know what sold today. The hard part is what is still sellable.
Harvest lives on paper, orders live in chat, and cold-room status depends on asking around. Whether sales can commit often comes down to guesswork.
Goods ship out, but cash and accounting lag behind
Deferred payment, consignment settlement, customer credit, and receivable cycles get mixed together. The worst case is discovering margin erosion only at month-end.
Loss is constant, but where exactly does it happen?
Harvest, processing, storage, repotting, merging seedlings, and scrapping are tracked separately, so teams end up with rough estimates and no clear improvement path.
When key growers leave, their know-how leaves with them
Strong growing experience stays in people's heads, chats, and ad hoc decisions, making it hard to turn into a long-term company asset.
Management needs the whole picture, but information is scattered everywhere
Sales, warehouse, workshop, and finance all keep separate records. Reconciling one account can take days, so decisions end up being made on instinct.
Nexeed Field Systems
Field Hardware and Edge Infrastructure
Many greenhouses already have devices, but data is fragmented, protocols do not align, alerts are too coarse, and execution is hard to trace. Nexeed Field Systems unifies climate, root-zone, fertigation, vision, device, work, and anomaly data into one trusted field entry point.
Multi-source sensingClimate · Root-zone · Vision
Data aggregationUnified data standard
Edge inferenceTrend · Threshold · Alert
Suggested executionWork orders · Strategy trace
Accurate field data
Capture greenhouse conditions accurately
Air, light, CO2, root-zone, fertigation, device status, images, and work records all enter one data foundation.
Connected device status
See issues earlier
The edge AI box combines thresholds, trends, historical performance, and current orders to provide alerts that teams can review.
Traceable key actions
Turn recommendations into action
AI does not make final calls for people. The system turns suggestions into work orders or device strategies, then technicians confirm execution with an audit trail.
Nexeed Field Systems
Modular deployment by greenhouse zone and crop type
View Package OptionsDifferent farms have different devices, network conditions, and automation baselines, so hardware should not be deployed with a one-size-fits-all approach. This modular system can be combined by greenhouse zone, crop variety, device brand, and management goal. The field collaboration loop is Sense -> Interpret -> Recommend -> Confirm -> Review, with key actions confirmed by people before execution.
Sensing Series
Multi-source sensing for climate, root-zone, weather, and tank level.
Professional Growing-Condition Sensor (Dry/Wet Bulb)
- Wet bulb -10~50C, dry bulb -10~70C, humidity 0~100%RH, dew point -10~70C
- Canopy model includes CO2 monitoring from 0~3000 ppm
- 4G connectivity with support for both grid power and renewable power sources
- AI compares against traditional dry/wet bulb data and auto-detects anomalies
Professional PAR Sensing Device
- 4G smart gateway, 12V power supply, operating temperature 0~50C
- Spectrum 400~700nm, sensitivity 1~2.5uV/(uW/cm2)
- Cosine response <3%, linear error <1%, sensor temperature range -10~50C
Agricultural Weather Station
- Light, total radiation, PAR, temperature, humidity, wind speed, wind direction, and rainfall
- Wind speed 0~60m/s, rainfall 0~4mm/min, anti-condensation rain sensor
- Grid, solar, or lithium battery power with 4G remote transmission
Growing Area Environmental Sensor (Base)
- Air -10~60C, soil -10~60C, humidity 0~100%RH
- 12V 4G gateway with wired collection and wireless forwarding
- Supports on-site installation and data calibration by location
Growing Area Environmental Sensor (Multi-factor)
- Air temperature/humidity, CO2 5000ppm, PAR 0~2500 umol/m2/s
- Soil temperature/humidity, EC 0~20000us/cm, PH 3~9, NPK 0~1999mg/kg
- 4G MQTT cloud connection, 12V, compatible with solar/grid/battery power
Stock Solution Tank Level Monitor
- Five 304 stainless float level gauges, range 0~2m, accuracy ±10mm
- Main controller 12V, float gauge 24V power, 4G wireless level forwarding
- Collect remaining tank volume in real time and decode wired level signals
Control Series
Linked fertigation, climate control, and inlet/outlet monitoring.
Three-channel Inline Fertigation Unit (2 Fertilizer + 1 Acid)
- 380V power, 10.1-inch capacitive screen, RS485 expansion
- PH 0~14, EC 0~20mS/cm, stabilization <=30s, accuracy ±0.1
- Up to 16 solenoid valve zones, suitable for 5~100 mu
- 4G plus mini-program remote control, AI-driven crop/weather fertigation
Five-channel Tank Fertigation Unit (4 Fertilizer + 1 Acid)
- Four fertilizer plus one acid independent channels with storage tanks
- EC/PH stabilizes within 10s for faster mixing
- Industrial body 0~55C, irrigation pressure 0.05~0.5MPA
- Full-process water and fertilizer data tracing, supports regulatory platform integration
Seedbed Irrigation Smart Monitor (Inflow/Outflow)
- 12~24V wide voltage, 4G transmission, operating temperature 0~60C
- EC 0~1000uS/cm, pH 0~8, flow rate, and water temperature monitoring
- Suitable for hydroponic and nursery recirculating fertigation systems
Smart Climate Control Unit
- 3500W DC24V output, can drive 20 x 100W film rollers
- 8-channel relay I/O with anti-freeze rain sensor
- Temperature/humidity accuracy ±0.3C and ±3%RH, 4G integration with third-party platforms
Vision Series
Leaf temperature vision and energy monitoring.
Plant Leaf Temperature Vision Monitor
- i7-1255U, 8GB memory, 256GB NVMe SSD
- 4G standard, optional 5G/WiFi/multi-LAN/multi-HDMI output
- Infrared temperature accuracy ±2C or ±2% of reading, supports point/line/box measurement
Growing Area Energy Monitoring System
- Class 0.5S high-precision meter for 380V park power systems
- Per-zone independent energy collection with automated daily/weekly/monthly/yearly reports
- Cloud-based real-time power trend charts for cost control
Edge Intelligence Series
Local inference and protocol aggregation with Edge AI Box.
Edge Computing AI Box
- CPU: AB100 8-core 2.65GHz; memory LPDDR5 32GB; M.2 SSD 2280
- GPU 3T+ FLOPS, NPU 20 TOPS programmable neural processor
- 5x USB3.0, Type-C, dual HDMI, dual Gigabit Ethernet, WiFi/BT
- DC19V power, size 127mm x 127mm x 44mm, operating temperature 0C~45C
Nexeed WorkAgents
Nexeed WorkAgents
Nexeed WorkAgentsNongxiaoxin is the AI-native operations workspace that brings tasks, inspections, issues, harvest, inventory, cost, and agent collaboration into one surface.
Business Analytics Agent
Business decisionsSupports annual planning, batch scheduling, target tracking, and business variance analysis.
Weather Agent
Weather monitoringCombines regional weather, on-site weather, and adverse-condition alerts to support production planning.
Climate Agent
Greenhouse climateTracks temperature, humidity, CO2, light, DLI, heat accumulation, and climate stress.
Fertigation Agent
Climate & fertigationCombines outdoor weather, leaf temperature, substrate, drain-back, and irrigation records to optimize strategy.
Field Management Agent
Production managementTracks work progress, inspection coverage, issue handling, and batch rhythm.
Pest & Disease Agent
Pest & disease alertsCombines AI vision, manual inspection, crop protection records, and climate risk.
Post-harvest Agent
Post-harvest managementManages raw flower inventory, finished packing, loss, packaging, and post-harvest costs.
Sales Agent
Post-harvest salesAnalyzes orders, inventory, customer mix, sales trends, and supply-demand mismatch.
Risk Alert Agent
Risk alertsAggregates full-chain risk and tracks issue closure and recurring alert patterns.
Cost Agent
Cost managementDynamically allocates labor, inputs, energy, and packaging costs to identify margin risk.
Farm Agent Assistant
AssistantActs as a unified conversational entry point that dispatches agents, receives alerts, generates briefings, and answers follow-up questions.
Continuously Expanding Agents
Continuous expansionContinuously expands into crop models, device linkage, energy management, quality grading, and financial risk control.
Nexeed AgriBrain
Nexeed AgriBrain
AgriBrain is the agricultural AI hub, combining industry knowledge bases, enterprise knowledge bases, vertical models, RAG retrieval, model services, and tool calling.
Reusable industry knowledge
Industry knowledgeCaptures controlled-agriculture industry knowledge, growing experience, pest and disease patterns, and facility management know-how.
Captured enterprise experience
Enterprise knowledgeTurns customer SOPs, expert experience, internal documents, and historical cases into searchable, reviewable enterprise knowledge assets.
Grounded AI reasoning
Model servicesProvides domain models, RAG retrieval, tool calling, and reasoning services for WorkAgents and business decisions.
Enterprise knowledge base
Enterprise knowledgeTurns customer SOPs, expert experience, internal documents, and historical cases into searchable, reviewable enterprise knowledge assets.
Business analysis reports
Business reportsAutomatically generates reports for production progress, risk events, cost variance, delivery status, and operational review.
Risk alerts and attribution
Risk attributionUses multi-source data to identify anomalies and support risk judgment across climate, disease, inventory, delivery, and cost.
Model inference and tool calling
Model servicesUnifies model inference, tool calling, and agent capability output as the AI foundation for WorkAgents.
Multi-crop expansion
Multi-cropVegetables, fruits, medicinal crops, mushrooms, and nursery operations can all use AgriBrain without rebuilding the industry layer.
Nexeed Flora Brain
Nexeed Flora Brain
Flora Brain is the floriculture edition, capturing floriculture knowledge bases, vertical models, cultivar experience, and floriculture agent templates.
AI Vision Analytics CockpitVision feeds the knowledge base
Turns floriculture phenotypes, pest and disease signals, work behavior, and device status into searchable and reviewable evidence.
Unified multi-source attribution
Puts vision, climate, fertigation, operations, and sales data into one analysis framework to understand risk sources and business impact.
Ready for management use
Presents outputs as dashboards, reports, Q&A, and alerts so platform operators and enterprise managers can see real operating conditions.
Captured floriculture knowledge
Floriculture knowledgeCaptures floriculture crop knowledge, production experience, pest and disease patterns, facility management, and business know-how.
Callable floriculture models
Vertical modelsProvides callable professional models for flower varieties, growth stages, and greenhouse scenarios.
Scalable floriculture experience
Agent templatesCaptures agent templates for floriculture production, post-harvest, and sales to accelerate WorkAgents adoption.
Variety and production experience
Experience captureStructures cultivar characteristics, agronomic parameters, and expert experience into searchable floriculture assets.
Floriculture business reports
Business reportsGenerates reports for floriculture enterprises covering production progress, risk events, cost variance, delivery status, and reviews.
Floriculture risk alerts
Risk AlertsCombines floriculture environment, growth status, post-harvest, and order data to identify anomaly trends and business risk.
Industry subscription service
Industry subscriptionProvides subscribable AI services for floriculture parks, platforms, and partners.
Enterprise floriculture brain
Enterprise brainConnects enterprise production, sales, cost, climate, and expert knowledge to build a dedicated floriculture brain.
Product Comparison
Field / Intelligence / Work / Industry Edition
Nexeed is not a single hardware product or a single software platform. It is an AI operating system for controlled-environment agriculture that can be rolled out by scenario while sharing one data model.
Comparison
Nexeed Field Systems
Nexeed AgriBrain
Nexeed WorkAgents
What you get
Accurate field data, connected device status, traceable key actions
Reusable industry knowledge, captured enterprise experience, grounded AI reasoning
Collaborative production flows, traceable business data, continuously expanding agents
How to roll out
Start with one pilot workflow, then expand step by step
Begin with read-only integration, produce reports first, then decide on deeper linkage
Validate value first, then scale up and avoid one big-bang change
What to solve first
Harvest, packaging, inventory, orders, delivery, loss, cost, tasks
Business analysis, anomaly alerts, attribution reports, knowledge Q&A, suggested work orders
Shift from finding out at month-end to getting warned during execution
Who it fits
From mid-sized farms to scaled floriculture enterprises
For operators already using ERP, Excel, sensors, or historical records
For operators seeking less friction, lower loss, and more predictable delivery
Stabilize the field first, then surface issues earlier.
Nongxiaoxin and Flora Brain share the same data model, so execution and intelligent analysis reinforce each other.
Hardware Planning Consultation
Start from one high-value scenario and decide how to combine software and hardware
Tell us your cultivation scale, key crops, and hardest current problem, and we will help you decide whether to start with sensing, the operations workspace, an AI read-only diagnosis, or a full integrated plan.
- ✓If records are the main issue, start light and make the data reliable first.
- ✓If delivery, receivables, and margin are already affected, connect orders, inventory, loss, and cost.
- ✓If you doubt AI value, start with a read-only diagnosis and let the report speak.
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