Smart Agriculture Solution

It is generally believed that smart agriculture refers to a new agricultural production method that uses modern information technologies such as the Internet of Things, artificial intelligence, and big data to deeply integrate with agriculture to realize information perception, precise management, and intelligent control of the entire agricultural production process. It can realize the functions of agricultural visual diagnosis, remote control and disaster early warning. In addition, smart agriculture is a general term for technologies such as digital agriculture, precision agriculture, agricultural Internet of Things, and smart agriculture. The foundation of the development of smart agriculture lies in digital agriculture, which is the prerequisite for the development of the agricultural Internet of Things.

Principles of Smart Agriculture

Smart agriculture is the application of Internet of Things technology to traditional agriculture, using sensors and software to control agricultural production through mobile platforms or computer platforms, making traditional agriculture more "smart". In addition to precise perception, control, and decision-making management, in a broad sense, smart agriculture also includes agricultural e-commerce, food traceability and anti-counterfeiting, agricultural leisure tourism, and agricultural information services.

The so-called "smart agriculture" is the full application of modern information technology achievements, integrated application of computer and network technology, Internet of Things technology, audio and video technology, 3S technology, wireless communication technology and expert wisdom and knowledge, to realize agricultural visual remote diagnosis, remote control, catastrophe Early warning and other intelligent management.

Smart agriculture is an advanced stage of agricultural production. It integrates emerging Internet, mobile Internet, cloud computing and Internet of Things technologies, and relies on various sensor nodes deployed on agricultural production sites (environmental temperature and humidity, soil moisture, carbon dioxide, images, etc.) etc.) and wireless communication network to realize intelligent perception, intelligent early warning, intelligent decision-making, intelligent analysis, and expert online guidance of the agricultural production environment, and provide precise planting, visual management, and intelligent decision-making for agricultural production.

Smart agriculture is an advanced stage of agricultural production. It integrates emerging Internet, mobile Internet, cloud computing and Internet of Things technologies, and relies on various sensor nodes deployed on agricultural production sites (environmental temperature and humidity, soil moisture, carbon dioxide, images, etc.) etc.) and wireless communication network to realize intelligent perception, intelligent early warning, intelligent decision-making, intelligent analysis, and expert online guidance of the agricultural production environment, and provide precise planting, visual management, and intelligent decision-making for agricultural production.

Solution application of smart agriculture

Data platform service

Use satellite remote sensing technology, UAV aerial photography and sensors to collect data on climate and meteorology, crops, land soil and pests and diseases, establish a data service platform, and provide visual management services for farms, cooperatives and large agricultural enterprises through data analysis.

drone plant protection

The agricultural plant protection UAV is equipped with advanced sensor equipment, and according to the terrain and landform, it can carry out precise and efficient spraying operations on crops with special chemicals, and achieve the effect of saving water and medicine through the trinity of man-machine medicine.

Agricultural machinery automatic driving

Agricultural machinery is based on computer and sensor technology. According to GPS satellite positioning system and machine vision technology, the precise positioning of agricultural machinery can be realized, and the information, operation status and operation speed of agricultural machinery can be monitored in real time through intelligent terminals.

Fine farming

Monitor the growth of livestock animals through ear tags, cameras, etc., real-time tracking, body shape recognition, and process and analyze the collected graphics and other data to achieve refined management of breeding.