The Smart Agriculture System represents a paradigm shift in agricultural management and development. It is a comprehensive platform that seamlessly combines four-dimensional space-time analytics with intelligent systems encompassing perception, decision-making, control, and service, culminating in an intelligent closed-loop that integrates all subsystems for optimal functionality.

Utilizing cutting-edge technologies such as big data, the Internet of Things (IoT), remote sensing, telemetry, and synchronous digital twins, the platform accomplishes a "comprehensive perception" of the agricultural landscape. It does so by meticulously sorting, mining, and analyzing industrial big data, thereby facilitating "one-stop" solutions for governmental decision-making and functional departmental management.

The industrial layout map of the system offers a granular view of agricultural data across the entire region. It dynamically captures the essence of agricultural resources, development, and changes, arranging agricultural distribution data from towns and streets in real-time. This inclusive platform integrates IoT devices related to soil, meteorology, and other agricultural aspects, along with scenarios such as aquaculture and intelligent greenhouses. Farmers can control devices via mobile terminals, promptly issuing updates on moisture content, disaster occurrences, seedling health, pest situations, and other crucial indicators using the latest technologies.

Furthermore, the system orchestrates agricultural operations across various production entities in the background. This includes disseminating information through instant messages, SMS, and video connections with agricultural enterprises, ensuring stable crop production and supply throughout the region.

By leveraging this sophisticated platform, the Smart Agriculture System introduces a new era of efficiency and intelligence in agricultural operations, heralding sustainable practices and enhanced productivity for the future.

The underlying issues compromising agricultural production are swiftly identified and reported to the relevant authorities in a timely manner. For areas where access is restricted, such as greenhouses, the system is equipped with intrusion detection capabilities. Should any unauthorized personnel or vehicles enter these zones, an alert is immediately activated. This triggers the transmission of the intruder's images and coordinates directly to the manager's mobile device, ensuring prompt and efficient response.

Multispectral analysis of nutrients and insect pests

Our advanced multispectral analysis technology utilizes a sophisticated device equipped with one visible light sensor and five multispectral sensors, including blue, green, red, red edge, and near-infrared wavelengths. This technology processes sensor data to automatically generate a comprehensive crop index. This index provides a clear, intuitive visualization of the crop’s nutritional status and pest infestations.

The platform accurately pinpoints the locations of diseases and pests on crops, subsequently automating the creation of treatment work orders. Dispatching these orders not only addresses the issues effectively but also significantly reduces pesticide usage, promoting healthier crops and a more sustainable agricultural practice.

Moreover, our system supports the upload of photographs via smartphones for the identification of diseases and pests. It enables reporting on the agricultural and pest conditions, offering immediate access to agricultural knowledge for timely responses. When necessary, users can leverage this feature to request expert support, ensuring informed decision-making and enhanced crop management.