Real-time monitoring and intelligent early warning platform for agricultural production environment
Real-time Monitoring and Intelligent Early Warning Platform for Agricultural Production Environments
Solution Overview
An integrated management platform combining sensing devices, wireless communication, cloud computing, and AI, enabling 24/7 real-time online monitoring, abnormal alarm, and remote control of the entire agricultural production process (environment, video, equipment). It serves as the "core brain" of agricultural digital management.
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Applicable Areas
Nationwide, particularly suitable for facility agriculture with high environmental requirements (greenhouses, livestock breeding), aquaculture, mushroom cultivation, cold chain storage, etc.
Applicable Crops
Greenhouse fruits and vegetables, flowers, edible fungi; livestock (pigs, chickens, cattle); aquatic products (fish, shrimp).
Detailed Solution Introduction
Data Collection
Collect environmental and video data through various sensors (air temperature and humidity, light, CO2, ammonia, H2S, water temperature, pH value, etc.) and high-definition cameras.
Cloud Platform Access
Seamless data对接 to Alibaba Cloud/Tencent Cloud and other IoT platforms, providing powerful data computing and storage capabilities.
Visual Monitoring
Users can view real-time data and live videos from all monitoring points on visual large screens or mobile devices with an intuitive interface.
Intelligent Alarm
The platform allows custom alarm rules (such as temperature exceeding thresholds) and automatically notifies administrators via SMS, phone calls, APP push, etc.
Equipment Linkage
Can be integrated with other systems to achieve automatic control (such as automatically turning on fans and water curtains when temperature is too high).
Technical Highlights
Powerful Cloud Ecosystem
Backed by leading cloud service providers, it can seamlessly integrate with big data and AI algorithm services, with strong scalability.
Multi-protocol Adaptation
Supports mainstream IoT protocols and can access sensing and execution devices from different brands.
AI Video Analysis
Combined with cameras, it can realize crop pest and disease identification, livestock behavior analysis (such as weight estimation, counting), intrusion alarm and other functions.
SaaS Service
Provides out-of-the-box software services, users do not need to care about underlying technologies, subscribe on demand, reducing initial investment.
Main Technical Parameters
Application Effects
Quality Improvement Description
Provides the most suitable growing environment for plants and animals, significantly improving product quality (fruit and vegetable taste, livestock health), and reducing mortality rates.
Typical Case
Shanxi Intelligent Apple Orchard Project
Project Introduction
Built an IoT monitoring platform for a large apple planting base in Shaanxi, realizing real-time monitoring of orchard meteorology, soil, and pest conditions, providing data support for scientific planting.
Implementation Location
Shanxi Province
Brief Implementation Effects
Achieved digital management of the production process, improved pest warning accuracy by 70%, reduced pesticide use by 15%, improved fruit sweetness and color, and enhanced premium capacity.
Detailed Case Introduction
The project deployed small weather stations, soil sensors, and pest forecasting lights in the orchard. All data is transmitted to Alibaba Cloud IoT platform via 4G. The platform not only monitors in real-time but also predicts the probability of pest occurrence based on historical data and guides farmers in agricultural operations.
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User Feedback Summary
"Now I can check the soil moisture in the field while sitting in the office. The pest forecasting lamp takes photos and identifies insects directly, which is very convenient. We no longer rely completely on experience for apple cultivation, but rely on data."
— Mr. Zhang, Shaanxi Province***
"The system warnings are very timely. Last summer, when the greenhouse temperature was abnormal, the platform notified me immediately, avoiding losses. Now managing 20 greenhouses is easier than managing 5 before!"
— Mr. Li, Shaanxi Province***
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