IOT Module used for agriculture enviromental monitoring

- Sep 14, 2019-

In recent years, Internet of Things technology has been applied to many fields of agriculture, including agricultural environmental monitoring, greenhouse greenhouse production control, water-saving irrigation, meteorological monitoring, product safety and traceability, and equipment intelligent diagnosis and management. For the application of Internet of Things technology in agriculture, the basic technology is the perfection of sensor networks. The perfection of the sensing system directly affects the operation of the entire agricultural IoT technology.


With the rapid development of society and the strong support of national policies for agriculture, coupled with the maturity of Internet of Things technology, the Internet of Things has become more and more widely used in traditional agriculture. Agriculture is one of the key application areas of IoT technology, and it is also the field with the most urgent, difficult and integrated features of IoT technology.

Internet of Things technology is the key to solving the current problems in agriculture. So what is the agricultural Internet of Things? What is its role in agriculture?


First of all, what is the agricultural Internet of Things? Simply put, the agricultural Internet of Things has several key aspects: the collection of front-end production information, the transmission of information, and the processing and application of information. Use sensors to collect information on production processes such as soil, meteorology, pests and diseases, and agricultural operations, transmit information to cloud platforms, process through cloud platforms, and provide data support for production management, quality traceability, and agricultural technology services. IoT technology is used in agriculture. The main application in .

It is understood that the Internet of Things technology has been applied to many areas of agriculture, including agricultural environmental monitoring, greenhouse control, water-saving irrigation, meteorological monitoring, product safety and traceability, equipment intelligent diagnosis and management.

Secondly, from the application level, it is mainly applied from the production process of field cultivation, facility planting, livestock and poultry breeding, and aquaculture. For the application of the Internet of Things in agriculture, the most widely used is the collection and production management control of production data in the production process, as well as the quality traceability of the circulation.

Again, in the traditional plantation management with experience management as the main mode, fertilization, spraying, irrigation, etc., due to different experiences, different planters will have different planting results, resulting in waste of water resources, excessive fertilization and spraying. With the continuous promotion of large-scale planting and the continuous change of industry situation, traditional experience management can not adapt to the scale of production operation mode, and scientific advanced management methods will be replaced.


Application of Internet of Things technology can collect animal and plant information, and always master the dynamics of animals and plants. Sensors will play an integral role in agricultural production. Fertilization, spraying, irrigation, etc., all need sensor data collection, through the soil, pests, humidity and other data of the planted products to determine when to fertilize, when to spray, when to irrigate and the required amount, thus Avoid waste of resources and damage to the environment under traditional empirical management.

The system can also prompt and remind critical conditions. The information collected by the sensor - when the air temperature, humidity, soil moisture, etc. approach or exceed the optimal growth value of the crop, the intelligent platform based on the Internet of Things technology promptly reminds the grower by means of mobile phone text messages, and the grower can take corresponding measures according to the reminder in time. Action to ensure optimal crop growth environment.

Through the data transmitted by the sensor, the crop information can be grasped at any time and anywhere, and the crops can be remotely managed. At the same time, experts or experts can make scientific diagnosis and decision-making on the pests and diseases of the crops. Through the timely monitoring of data, the crops are suitable for the growing environment and nutrition. On the one hand, crops grow fast and grow well, and at the same time they are not easy to get sick, which can bring better economic benefits.


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