Smart Agriculture Monitoring System Solution

Smart Era Greenhouse Remote Intelligent Environmental Control Monitoring System Solution

1Smart Agriculture Monitoring System Solutionbackground

With the deepening of the rural revitalization strategy, digital agriculture has become the core path of agricultural modernization. As an important carrier of efficient agriculture, the precision of environmental control in greenhouses directly determines crop yield and quality. Traditional greenhouse management mainly relies on manual experience and human perception ability, which has pain points such as slow response, large errors, and high costs, making it difficult to adapt to the needs of large-scale and standardized production. To address this issue, this plan aims to build a remote intelligent environmental control monitoring system that combines precision perception, intelligent analysis, and closed-loop control. This system will enable dynamic regulation of greenhouse environments, improve production efficiency, and enhance the competitiveness of agricultural products.

IISmart Agriculture Monitoring System Solutionarchitecture

This plan relies on technologies such as the Internet of Things, big data, intelligent sensing, and AI to achieve functions such as environmental monitoring, intelligent analysis, warning management, and remote control, helping to promote the intelligent transformation of agricultural production

1. Data collection layer: supports the deployment of multiple sensors to collect real-time environmental parameters such as air temperature and humidity, soil temperature and humidity, light intensity, carbon dioxide concentration, wind speed and direction, as well as crop growth status data.

2. Network Transport Layer: Supports communication technologies such as 4G/5G to achieve real-time interaction between sensor data and cloud platforms, ensuring stable and low latency data transmission.

3. Public platform layer: Building a smart agriculture supervision platform based on cloud computing, Internet of Things, digital twins and other technologies, supporting massive device access and data storage, providing data visualization, analysis, warning and other functions.

4. Smart application layer: Provides application functions such as environmental monitoring, equipment control, intelligent warning, agricultural management, and data analysis, supporting remote control of equipment such as fans, rolling shutters, and water fertilizer integrated machines to achieve automated regulation.

5. Access layer: The platform supports multi terminal access (PC, mobile app/mini program, large screen), making it convenient for managers to view data anytime and anywhere.

3、 Functional advantages

The intelligent control system for greenhouse has solved the pain points of "relying on manual labor, insufficient accuracy, and low efficiency" in traditional greenhouse management.

1. Environmental monitoring and visualization

Real time display of environmental parameters in the greenhouse, including real-time data, historical curves, and trend analysis, supports multi-dimensional data comparison, and helps managers intuitively understand the crop growth environment.

2. Intelligent control

According to the preset crop growth model and environmental threshold, automatically control the equipment inside the greenhouse, such as automatically turning on the fan to cool down and roll the film for ventilation when the temperature is too high, automatically lowering the roll for insulation when the external temperature is too low, and automatically starting the irrigation system when the soil moisture is insufficient.

3. Intelligent warning

Set environmental parameter thresholds, and when data exceeds the range, notify managers in a timely manner through mobile SMS, APP push notifications, voice alarms, etc., supporting graded warning.

4. Video surveillance

Deploy high-definition cameras to monitor the growth status of crops and equipment operation in the greenhouse in real time, combined with AI image recognition technology, to achieve early warning of pests and diseases, personnel intrusion detection and other functions.

5. Data analysis and decision support

Mining and analyzing historical data to generate reports such as yield prediction, energy consumption analysis, and cost-benefit evaluation, providing scientific basis for planting decisions.

4、 Core values

▶ Accurate environmental regulation

An intelligent monitoring terminal equipped with multi parameter sensors collects real-time data on air temperature and humidity, soil temperature and humidity, light intensity, CO2 concentration, etc. It automatically adjusts sunshades, ventilation systems, and water and fertilizer equipment through AI algorithms, achieving a temperature control accuracy of ± 0.5 ℃ and a humidity control range of ± 5%.

▶ Self inspection task

Equipped with intelligent inspection robots, it can conduct full shed inspections according to preset paths or autonomously planned paths, real-time collect crop growth status, environmental parameters, and equipment operation status, replace manual completion of high-frequency and large-scale inspection tasks, and reduce labor costs.

▶ Intelligent Decision Support

Relying on front-end data to remotely and dynamically obtain environmental and climate data inside and outside the shed, the platform provides decision support based on big data analysis, including environmental optimization suggestions, pest control plans, water and fertilizer irrigation strategies, etc., helping managers shift from "experience driven" to "data-driven".

Intelligent greenhouse management platform

The intelligent greenhouse management platform integrates environmental monitoring, video surveillance, and intelligent regulation functions. It collects real-time data on temperature, humidity (air/soil), light intensity, carbon dioxide concentration, and soil nitrogen, phosphorus, and potassium inside the greenhouse through multiple sensors, and supports customized monitoring cycles. The system can be connected to network cameras for multi angle monitoring and has the ability to monitor seedling and pest conditions. Trigger intelligent alarms when data is abnormal, while providing data analysis and decision support. The platform significantly improves agricultural production efficiency and management level through data visualization and remote control.

5、 Application Cases

This project is located in Xiqing District, Tianjin, and is an intelligent upgrade project for the greenhouse planting management of the local specialty agricultural product "Shawo Radish". The project deploys the Zhiyi Era greenhouse remote intelligent environmental control monitoring system, which accurately serves the environmental regulation needs of radish growth, significantly reducing management costs and labor intensity, and providing strong support for the standardized and branded development of local specialty agriculture.

With the continuous iteration of technology, this system will further integrate technologies such as digital twins, full process traceability, and AI big models to create a "smarter, more accurate, and more transparent" greenhouse management system. In the future, the Zhiyi Era greenhouse remote intelligent environmental control monitoring system will not only meet the needs of traditional greenhouses, but also adapt to new facility agriculture scenarios such as photovoltaic greenhouses and plant factories, providing strong technical support for the high-quality development of digital agriculture and helping the implementation and effectiveness of rural revitalization strategies.