Using Internet of Things technology through various sensors to achieve remote precision irrigation

The agricultural Internet of Things technology is integrated into the modern scientific and technological body in the modern agricultural development project, adopts the intelligent water and fertilizer integration project, collects the parameters of crop growth and surrounding environment in real time through various front-end sensors, and uses the Internet of Things, Cloud Analysis results and action suggestions are sent to users in the form of alerts;

By driving the irrigation controller to carry out remote precise irrigation of crops, scientific and reasonable agricultural irrigation management can be realized, and the goals of saving water, fertilizer, labor, and improving quality and efficiency can be achieved.

Relying on core key technologies such as the Internet of Things, build a new digital agricultural project, form the brain nerve center of agriculture, and carry out comprehensive data control of agricultural development. Real-time and intuitive grasp of agricultural production distribution, agricultural production process, disease and insect pest monitoring, management experience soil Moisture and quality traceability and other aspects provide an intuitive basis for agricultural departments to grasp the actual situation, scientific decision-making, and work scheduling.

Through the establishment of a new digital agricultural comprehensive service system, we will lead the transformation of new digital agricultural production methods, and promote agricultural industrialization, scale, and modernization.

The digital agricultural visualization big data platform relies on various sensing nodes (environmental temperature and humidity, soil moisture, carbon dioxide, images, etc.) and wireless communication networks deployed in agricultural production sites to complete the collection, transmission, storage, processing and other links of agricultural big data. data management. Combined with big data analysis and mining technology, intelligent perception, intelligent early warning, intelligent decision-making and intelligent analysis of agricultural production environment are finally realized.