Project Background: Moving from "Experience Planting" to "Smart Planting"

With the transformation of modern agriculture towards precision and intelligence, technologies such as the Internet of Things and big data are deeply empowering agricultural production. A Shawo Radish Greenhouse Planting Base in Tianjin has recently launched an intelligent upgrade, aiming to solve the pain points of relying on manual labor, extensive management, and high costs in traditional planting models. As a local specialty agricultural product, Shawo radish is extremely sensitive to environmental factors such as temperature, humidity, light, and soil. Zhiyi Era has customized an environmental monitoring and intelligent control system through on-site research, helping to achieve standardization and intelligence in the planting process.

Core objective: Precise regulation, cost reduction and efficiency improvement

The project focuses on building a smart agriculture monitoring system and is committed to achieving three major goals:

Accurate environmental regulation: ensuring stable key parameters such as temperature and humidity, creating the optimal growth environment for crops;

Management efficiency improvement: Through automation and remote control, reduce manual intervention and lower labor intensity;

Resource optimization and quality improvement: reduce water and fertilizer waste, lower the defect rate, and promote green and refined planting.

System deployment and functional implementation:

Project co deployment4The Taiwan Smart Agriculture Monitoring Station integrates multiple sensors and intelligent control devices, and is equipped with a smart agriculture platform to build an IoT network covering the entire greenhouse area.

Hardware devices: precise perception and efficient execution

The smart agriculture monitoring station is equipped with multi parameter sensors to collect real-time data on air temperature and humidity, soil temperature and humidity, light intensityCO2Concentration and other data, throughAIThe algorithm automatically adjusts the sunshade, ventilation system, and water and fertilizer equipment to achieve ±0.5Temperature control accuracy of ℃ and ±5%The humidity control range.

main components：

Greenhouse intelligent control cabinet: adopts wall mounted design to achieve remote automation management of ventilation, shading, supplementary lighting, irrigation and other aspects.

Soil moisture sensor: real-time monitoring of soil temperature, humidityECValue (conductivity) andPHValue provides data support for precise irrigation and fertilization.

Meteorological sensors: collect air temperature, humidity, light intensity, andCO2Comprehensive understanding of the microclimate conditions inside the greenhouse, including concentration and other environmental parameters.

Software platform: data-driven intelligent management

The smart agriculture management platform integrates functional modules such as environmental monitoring, video surveillance, and intelligent regulation, and has the following core capabilities:

Multi source data fusion: The system collects real-time temperature, humidity (air and soil), and light intensity inside the greenhouse through multiple types of sensorsCO2Based on key parameters such as concentration, combined with data such as wind speed, air humidity, and temperature displayed in the interface, a comprehensive and accurate greenhouse environment portrait is constructed.

Remote video monitoring: supports access to multiple network cameras to achieve real-time visual monitoring of greenhouse panoramic and key areas. The platform also has crop growth analysis and pest image recognition functions to assist users in timely grasping crop status.

Intelligent alarm mechanism: When the environmental data exceeds the preset threshold, the system automatically triggers multi-channel alarms (such as SMSAPPPush notifications to remind management personnel to intervene quickly and ensure a stable and controllable crop growth environment.

Data analysis and decision support: Based on historical data and crop growth models, the platform can generate environmental trend analysis reports and planting recommendations, such as combining water consumption statistics, equipment operation status, and other information to help users optimize planting strategies and achieve scientific planting and refined management.

Remote centralized control: Users can remotely control greenhouse equipment (such as fans, irrigation systems, etc.) through computers or mobile terminals, effectively improving the automation level and management efficiency of agricultural production.

Project effectiveness and value

Through the implementation of this system, the base has achieved precise control over the growth environment of Shawo radish, with temperature control accuracy reaching ±0.5℃, humidity control range within ±5%Internally, it effectively avoids growth obstacles caused by environmental fluctuations. At the same time, the system significantly reduces the frequency of manual inspections and operations, reduces labor intensity, improves management efficiency, and promotes the sustainable development of agriculture towards "data-driven, intelligent control" direction.

Installation site diagram