Agricultural IoT Solutions
Smart Sensing · Precision Control · Automated Operations · Data-Driven Decisions
Connecting smart devices, agricultural environments, and operational data to build an integrated digital agriculture ecosystem for production, government management, and agricultural research.
TOP Cloud-Agri integrates IoT, artificial intelligence, smart equipment, and data analytics to deliver comprehensive solutions ranging from environmental monitoring and intelligent control to data management. We help agriculture move toward greater precision, automation, and digitalization.
TOP Cloud-Agri IoT Components
Solution Modules
Hardware Module
Software Module
AI Module
Functional Module
Core Modules & Application Scenarios
70+ in-house-developed sensors
Portable terminal for real-time field data acquisition and visualization, integrated with our cloud platform for intelligent analytics, predictive models, and decision support (cloud service subscription required).
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- Soil pH Sensor
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- 3-Prong Soil Moisture & Temperature Sensor
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- Fruit Swelling Sensor
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- Stem Micromovement Sensor
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- Barometric Pressure Sensor
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- CO2 Sensor
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- Leaf Wetness Sensor
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- Light Intensity Sensor
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- PAR Sensor
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- Soil Oxygen Sensor
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- Soil pH Sensor
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- Wind Speed & Direction Sensor
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- Rain Gauge
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- All-in-One Weather Sensor
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- Tilt Sensor
Measurable Parameters
Air Temp.，Air Humidity，Dew Point Temp.，Light Intensity，Wind Speed，Wind Direction，Precipitation，Atmospheric Pressure，Soil Temp. (4 layers)，Soil Moisture (4 layers)、Soil Oxygen，Soil Electrical Conductivity，Negative Oxygen Ion，PM2.5，Crop Growth Image，Altitude/Positioning
10 Types of Agricultural Data Analysis
Weather Monitoring、Precipitation Forecasting、Root Depth Analysis、Soil Moisture Analysis、Crop Water Demand Modeling、Crop Identification、Crop Growing Degree Day (GDD) Modeling、Crop Coverage Analysis、Agricultural Weather Disaster Risk Forecasting、Soil Moisture Variation Analysis
Closed-Loop Monitoring & Control
Data-driven and integrated with the water and fertilizer control system, the solution helps analyze crop water and nutrient requirements and automatically manages irrigation and fertilization, creating a closed loop from monitoring to control.
Precise Water & Nutrient Management
Sensors and intelligent algorithms continuously monitor the pH and EC levels of the nutrient solution, automatically adjusting nutrient composition and dynamically optimizing water–fertilizer ratios to deliver precise amounts of water and nutrients.
Multi-Mode Irrigation
Supports multiple irrigation and nutrient solution delivery modes, including drip irrigation, ebb and flow irrigation, and recirculating nutrient solution systems.
Automatically captures insects and airborne spores, identifies, classifies, and counts pests, and combines weather and crop growth data to analyze outbreak trends and provide early warnings. learn more→
Integrate AI-powered AR glasses, autonomous agricultural robots, and smart drones into one intelligent farming ecosystem.
Smart Production for Greater Agricultural Efficiency
Designed for modern agricultural parks, controlled-environment agriculture, large-scale farms, and specialty crop industries, our solutions integrate environmental control, precision fertigation, automated operations, and production-to-market coordination.
1.Intelligent Environmental Control
Smart growth chambers and greenhouses enable precise regulation of temperature, humidity, light intensity, light spectrum, and carbon dioxide levels. By maintaining suitable growing conditions, these systems support crop growth optimization, quality improvement, and more efficient facility utilization.
2.Smart Irrigation and Fertigation
By integrating soil, growing-media, and fertigation monitoring data, the system enables precise irrigation and nutrient management. Automated nutrient mixing, scheduled irrigation, demand-based water delivery, and remote control help improve resource-use efficiency and reduce unnecessary inputs.
Under suitable crop, facility, and management conditions, precision fertigation strategies can further support improvements in water and nutrient-use efficiency and reductions in nitrogen fertilizer application.
3. Agricultural Automation
Connect seeding equipment, transplanters, automated harvesting systems, automated guided vehicles (AGVs), and other smart agricultural machinery to coordinate operations across the production process, reduce repetitive labor, and improve operational efficiency.
4. Integrated Production, Supply, and Sales
Connect production, quality management, traceability, and sales to establish a data-driven agricultural value chain.
Production: Collect growing-environment, cultivation-process, and crop-growth data to build digital production records.
Quality and Traceability: Link production records, quality inspection results, and batch information to support product traceability.
Sales: Integrate market demand, sales-channel information, and product feedback to inform planting plans, variety selection, and production scheduling.
Starting with specialty agricultural products, these solutions support regional branding, quality communication, and industry collaboration, helping translate production data into product value.
Comprehensive Monitoring for Smarter Agricultural Governance
Designed for agricultural authorities, regional agricultural parks, and local administrations, our solutions integrate remote sensing, IoT, artificial intelligence, and smart equipment to support digital supervision across farmland, seed production, livestock, and rural environments.
1.Digital Farmland Supervision
Integrate satellite remote sensing, drones, ground-based sensors, and intelligent inspection equipment to establish an integrated space-air-ground monitoring system. Monitor farmland utilization, land parcel changes, and agricultural infrastructure conditions.
Through anomaly detection, location-based alerts, task assignment, and response feedback, the system establishes a closed-loop workflow of monitoring, alerting, response, and verification. Digital land parcel identification and mapping enable visual farmland management and support farmland protection, resource management, and informed decision-making.
2. Digital Seed Industry Supervision
Integrate seed production entities, land resources, growing environments, pest and disease information, geographic data, and industry statistics into a unified digital seed industry management platform.
Data integration, dynamic monitoring, and statistical analysis help authorities understand seed production site distribution, production progress, resource allocation, and supply-demand changes, improving visibility and coordination in seed industry management.
3. Digital Livestock Supervision
Combine smart livestock ear tags, IoT devices, and management platforms to connect key processes, including breeding, disease prevention, quarantine, slaughter, transportation, and safe disposal. Establish digital records for individual animals and related operations.
By analyzing livestock production data, disease risks, and market supply-demand information, the system supports risk alerts, production monitoring, and coordinated supervision, enabling more precise livestock management.
4. Rural Environmental Management
Integrate remote sensing, artificial intelligence, and IoT to digitize the identification, assignment, resolution, and reporting of rural environmental issues.
Mobile reporting, location-based task assignment, photographic evidence, and automated reporting create a closed-loop management process from inspection to verification, improving operational efficiency and transparency in rural environmental governance.
5.Smart Crop Protection and Environmental Alerts
Use agricultural weather stations, environmental sensors, pest monitoring equipment, inspection robots, and crop protection drones to continuously monitor environmental conditions and crop health.
When monitored parameters reach predefined thresholds or anomalies are detected, the system can issue alerts and, where configured, coordinate fans, irrigation equipment, or crop protection operations. This supports frost protection, pest management, and agricultural operations.
Intelligent Research for Agricultural Innovation
Designed for agricultural research institutes, universities, germplasm banks, and modern agricultural laboratories, our solutions integrate smart growth chambers, plant phenotyping equipment, environmental sensors, and research management software to create controlled, measurable, traceable, and data-driven research environments.
1. Smart Artificial Climate Chambers
Smart artificial climate chambers and environmental control systems precisely regulate temperature, humidity, light intensity, light spectrum, and carbon dioxide levels, providing stable and repeatable experimental conditions for crop growth, plant physiology, variety screening, and environmental stress research.
Integrated digital management platforms organize research projects, varieties, cultivation records, experimental treatments, and results, with support for image and video uploads.
Visual dashboards display chamber utilization, experiment duration, treatment conditions, and comparative crop growth, helping researchers improve experimental management and data completeness.
2. Plant Phenotyping and Analysis
Integrate 2D and 3D imaging, hyperspectral imaging, thermal infrared imaging, depth sensing, and plant physiological sensors to collect multidimensional data on plant structure, growth status, and physiological responses.
Automated imaging, image processing, and intelligent analysis enable the extraction of plant height, leaf area, root architecture, color characteristics, and other growth parameters. These measurements support crop breeding, variety characterization, stress-response studies, and growth analysis.
3. Digital Germplasm Resource Management
Build an end-to-end digital management platform covering germplasm collection, identification, trait analysis, viability testing, storage, preservation, and distribution.
Resource Identification and Inventory: Assign a unique identifier and QR code to each germplasm accession, with support for barcode or QR-based transactions, batch operations, and hierarchical storage management.
Quality Monitoring and Alerts: Link germination rates, viability tests, and inspection records. Generate alerts for approaching storage deadlines, low inventory, overdue inspections, and abnormal storage conditions.
Resource Search and Sharing: Enable trait-based searches, resource requests, and tiered access control to improve germplasm utilization.
Digital Twin and Environmental Monitoring: Digitally model storage facilities and integrate temperature, humidity, and inventory information to coordinate physical resources with their digital records.
4. Research Automation and Data Management
Connect sample transportation systems, automated storage and retrieval robots, imaging equipment, and laboratory management software to reduce repetitive tasks and coordinate sample handling, experimental operations, and data collection.
A unified data management framework links environmental parameters, experimental treatments, equipment status, and observation results, supporting experimental verification, treatment comparisons, and long-term research data accumulation.
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