Background
Traditional agriculture faces rising labor costs, people leaving the land and low productivity. Growing relied on experience, making it hard to adjust precisely to soil and climate, so yields fell short of what scientific growing could achieve. Environmental monitoring was outdated and could not respond to extreme weather in time. The Academy of Agricultural Sciences built the My Home Vegetable Greenhouse IoT platform to automate growing and make it precise, addressing these problems and improving the efficiency and quality of agricultural production.
Key Requirements
- Rely less on manual labor, with automated, intelligent management
- Monitor environmental data precisely to improve growing conditions
- Warn of weather risks in time and reduce losses to pests and disease
- Raise crop yields and quality and help modernize agriculture
Solution
Through visual modeling, a multi-layer architecture and low-cost development, tsan.ai's tsanCenter made it possible to build the IoT platform quickly, providing data collection, analysis and intelligent control.
Core Capabilities
Sensing and Collection
Sensors monitor environmental data in real time
Intelligent Alerts
Automatic alerts so anomalies are dealt with promptly
Precise Control
Equipment adjusted automatically to each crop's needs
Multi-Device Management
Convenient operation and monitoring on PC and mini-program
Use Cases
The platform provides a complete set of applications — management on PC, convenient operation on mobile, data display and analysis, and operations management — using IoT to manage the whole agricultural production process intelligently, an innovative example for modern agriculture.
PC Management System
Equipment status shown in clear charts, with remote control and permission management
Nongkebao Mini-Program
Precise weather data and alerts, so users can check their equipment at any time
Device Groups
Devices grouped by area or type for fine-grained permissions and central control
Data Display
Historical data queries and multi-screen management, with comprehensive analysis
Operations Management
Tenant management and detailed user permissions for stable, efficient operation
Decision Support
Big-data analysis predicts pests and disease to inform production decisions
Impact
The platform greatly improves agricultural productivity with automated, intelligent management, markedly lowers labor and resource costs, improves the quality and safety of produce, and encourages sensible use of agricultural resources and less pollution — advancing a greener, more modern agriculture.