Shanghai Runbao Grape Cooperative Smart Agriculture System Application Project
Shanghai Runbao Grape Cooperative Smart Agriculture System Application Project
Precision Cultivation Leads High-Quality Development of Grape Industry
Project Overview
Shanghai Runbao Ecological Vegetable and Fruit Professional Cooperative has built a "connected greenhouse + intelligent precision planting system" in its 100-acre grape planting base. Through IoT sensors and automatic irrigation systems, it has realized precise management of grape cultivation, significantly improving grape quality. The selected grape varieties won the gold award in the competition.
Project Image Display
Exterior view of connected greenhouses, modern grape planting base
Intelligent monitoring system interface showing various environmental data
Display of high-quality grape products, gold award-winning grape varieties
Project Detailed Introduction
The cooperative has introduced connected greenhouses and an intelligent precision planting system. This system can real-time monitor key data such as greenhouse environmental temperature and humidity, soil pH value, and nitrogen, phosphorus, and potassium content. Through intelligent platform analysis and decision-making, it realizes functions such as remote control of integrated water and fertilizer, automatic film rolling, and temperature and humidity regulation.
Implementation Location
Shanghai (specific location not specified in reports)
Planting Scale
100-acre grape planting base
Core Technologies
IoT sensors, automatic irrigation systems
System Function Modules
Environmental Monitoring Module
- Real-time monitoring of temperature and humidity in greenhouses
- Accurate detection of soil pH value
- Analysis of soil nitrogen, phosphorus and potassium content
- Monitoring of light intensity and carbon dioxide concentration
Intelligent Control Module
- Remote control of integrated water and fertilizer system
- Automatic film rolling system for ventilation adjustment
- Intelligent temperature and humidity regulation
- One-click operation to simplify management processes
Data Analysis Module
- Real-time analysis of planting data
- Growth trend prediction
- Precision fertilization recommendations
- Historical data comparison and analysis
Implementation Effects
Labor Saving
Irrigation and fertilization for 100-acre vineyards has been reduced from requiring more than ten people working for four to five hours to being completed with one person's one-click operation, significantly reducing labor costs.
Water and Fertilizer Saving
Through precise control, it has achieved 30% water saving and 20% fertilizer saving, reducing production costs, minimizing environmental impact, and achieving green and sustainable development.
Quality and Efficiency Improvement
Grape sugar content and berry uniformity have significantly improved, disease incidence has decreased, yield has remained stable, products have achieved premium prices, and the selected varieties won gold awards in competitions.
Benefit Improvement Comparison
User Feedback
It not only saves labor, but more importantly, produces higher quality and safer grapes. Smart agriculture has transformed us from "relying on experience" to "relying on data", making the planting process more standardized and scientific.
—— Yang **, Director of the Cooperative
Technological Innovation Points
Precision Sensing Technology
Adopting multi-node IoT sensor networks to achieve comprehensive, high-precision monitoring of the grape growth environment, with data collection intervals as short as minutes.
Intelligent Decision System
Based on grape growth models and environmental data, it automatically generates irrigation and fertilization plans to achieve precise management and avoid resource waste.
Remote Control Technology
Realizing remote control of greenhouse equipment through mobile or computer terminals, supporting one-click operations and scheduled tasks, significantly improving management efficiency.
Future Outlook
Technology Upgrade Directions
- Introduce AI image recognition technology to realize early automatic identification and warning of diseases and pests
- Develop big data-based grape quality prediction models to optimize planting plans in advance
- Build a blockchain traceability system to realize full traceability from planting to sales
- Expand mobile application functions to support real-time video monitoring and more refined remote control
Application Promotion Plan
- Extend technology application to other vegetable and fruit varieties based on existing grape planting
- Form replicable smart agriculture solutions to promote to surrounding cooperatives
- Cooperate with agricultural research institutions to carry out smart agriculture technology training and demonstrations
- Explore the "cooperative + internet + order agriculture" model to realize integrated production, supply and marketing development
