Sistema Inteligente de Monitoramento Meteorológico para Jardim de Chá da Universidade Agrícola de Anhui
Antecedentes do projeto
Anhui Agricultural University implemented a Yantai Sensor solar-powered automatic weather station system at its tea research base in southern Anhui to develop a smart tea garden monitoring solution. The project deployed two microclimate monitoring stations to collect real-time environmental data, including temperature, humidity, solar radiation, wind conditions, and rainfall, helping researchers better understand the relationship between climate factors and tea plant growth.
Designed for mountainous tea plantations with limited power access and complex terrain, the system integrates solar power supply, wireless data transmission, and cloud-based monitoring, enabling continuous outdoor operation and remote data access. The project provides reliable data support for tea cultivation research, frost risk warning, disease prevention, and precision agricultural management, demonstrating a practical application of smart weather monitoring technology in modern tea production.
- Equipamento: Estação Meteorológica Ultrassônica
- Localização: Rússia
- Data: 2022

Project Solution
To address the challenges of limited field data, complex mountainous terrain, and lack of power infrastructure in traditional tea garden monitoring, Yantai Sensor developed a customized solar-powered microclimate monitoring solution for Anhui Agricultural University’s tea research base. The system combines environmental sensors, independent solar power supply, wireless IoT communication, and cloud-based data management to achieve continuous and remote monitoring of tea garden conditions.
The monitoring stations were strategically installed in different tea-growing areas, including sunny slopes and low-humidity valley zones, to capture environmental variations across different microclimates. By collecting real-time data on temperature, humidity, sunlight, wind, and rainfall, the system provides researchers with accurate environmental information for tea growth analysis, frost risk assessment, disease prevention, and precision cultivation management.
| System Module | Configuration |
| Fonte de alimentação | Monocrystalline solar panel + built-in lithium battery, independent off-grid operation |
| Sensores ambientais | Temperature & humidity sensor, wind speed & direction sensor, solar radiation sensor, rainfall sensor |
| Aquisição de Dados | Weatherproof data logger with continuous environmental data collection |
| Comunicação | 4G wireless transmission module for real-time remote data upload |
| Plataforma de Monitoramento | Cloud-based platform for data visualization and historical analysis |
| Video Monitoring | HD camera for remote observation of tea plant growth |
| Estrutura de instalação | Anti-corrosion galvanized pole with stable outdoor mounting system |
Application in Tea Research and Smart Agriculture
The two monitoring stations were installed in different experimental areas, including sunny slopes and humid valley zones, allowing researchers to compare microclimate differences and their influence on tea plant growth.
Supporting Tea Growth Research
By continuously collecting temperature, humidity, and sunlight data, the research team can analyze the relationship between climate factors and tea quality indicators, including germination period, nutrient accumulation, and flavor characteristics.
The collected environmental database provides reliable support for tea variety improvement and climate-adaptive cultivation studies.
Early Warning for Frost Damage
Spring frost is one of the major risks affecting tea production. Young tea buds are highly sensitive to sudden temperature drops during early growth stages.
With Yantai Sensor’s monitoring and warning system, researchers can receive timely alerts when temperature approaches frost-risk levels. This enables them to take protective actions, such as frost prevention measures and temperature control strategies, reducing the impact of extreme weather events.
Digital Disease Prevention
High humidity and prolonged dew conditions can increase the risk of tea diseases. By monitoring humidity changes and environmental conditions continuously, researchers can identify potential disease-risk periods earlier and implement preventive measures, improving tea garden management efficiency.
Conclusão
The Anhui Agricultural University tea garden project shows how precision weather monitoring technology can transform traditional farming practices. By combining solar-powered hardware, IoT communication, and cloud-based data management, Yantai Sensor helps researchers and growers better understand local microclimate conditions, improve disaster prevention capabilities, and optimize crop management.
With proven applications in tea plantations, Yantai Sensor continues to develop customized agricultural weather monitoring solutions for tea gardens, orchards, herbal plants, and other specialty crop production environments worldwide.
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