Intelligent agriculture applications are mainly as follows:

Agricultural production environment monitoring: through a large number of sensing nodes laid in the farmland, greenhouses, gardens and other target areas, real-time collection of temperature, humidity, light, gas concentration, as well as soil moisture, conductivity and other information and summarized to the central control system. Agricultural production personnel can analyze the environment through the monitoring data, so as to target agricultural production materials,

and mobilize a variety of executive equipment as needed, temperature, light, air change and other actions, to achieve intelligent control of the agricultural growth environment.

Food safety: use of technology, the construction of agricultural traceability system, through the efficient and reliable identification of agricultural products and the monitoring of the production and processing environment, the realization of agricultural products tracking, inventory function, and effective full quality monitoring to ensure the safety of agricultural products. Internet of Things (IoT) technology throughout the production, processing, circulation, consumption of each link, to realize the whole process of strict control,

so that users can quickly understand the production environment and process of food, so as to provide a completely transparent display of the food supply chain, to ensure that to the community to provide high-quality assured food, to enhance the user's confidence in the degree of food safety, and to safeguard the interests of the legal operators, to enhance the traceability of agricultural products brand effect.

China's development of modern agriculture is faced with the dual challenges of resource scarcity and excessive resource consumption. The Internet of Things (IoT), with information sensing equipment, sensor network, Internet and intelligent information processing as its core, will open up new ideas and favorable means for the modern agricultural production and management technology system of quantitative analysis, intelligent decision-making, variable inputs, and location-based operation in the process of agricultural production, and

will be widely used in the field of agriculture, and will further promote the integration of information technology and agricultural modernization. Intelligent agriculture based on the Internet of Things can be used in large and medium-sized agricultural planting bases, facility horticulture, livestock and poultry aquaculture and agricultural products logistics, deployed six types of wireless sensor nodes,

including air temperature, air humidity, soil temperature, soil humidity, light intensity, carbon dioxide concentration, and so on, and through the low-power self-organizing network of wireless communication technology to achieve the wireless transmission of sensor data. All the data are gathered in the central node and connected to the Internet or mobile network through the wireless gateway, realizing the multi-scale (individual, visual, regional, geographical) transmission of agricultural information;

Users can grasp the environmental information of the crop site in real time through cell phones or computers, and the system diagnoses the growth status of the crops and the status of the pests and diseases according to the environmental parameters.

At the same time, in the case of environmental parameters exceeding the standard, the system can remotely control the irrigation and other agricultural equipment, to realize the pre-production, production and post-production process monitoring of agricultural production, and thus achieve the goal of sustainable development of agricultural production intensive, high-yield, high-quality, high-efficiency, ecological, safe and so on.