Modern Agriculture: Empowered by IoT Devices

What is modern agriculture?

Modern agriculture has transformed farming from a state of "resigning to fate" to the rational utilization and transformation of nature, and from relying on traditional experience for planting to relying on science and technology. And it continuously expands the production advantages of refinement, regionalization, specialization and digitalization, transforming the natural economy into a highly developed commodity economy.

Among them, the application of Internet of Things devices plays a crucial and key role in the development process of modern agriculture. The advantages of modern agriculture displayed in the fields are far beyond your imagination!

☞As an important device of the Internet of Things, Agricultural Weather Stations integrate multiple agricultural meteorological sensors such as air temperature, air humidity, solar radiation, wind speed, wind direction, rainfall and atmospheric pressure. This weather station collects data once at regular intervals (can be set) and automatically transmits it to the cloud platform to provide reliable meteorological guidance and rich data accumulation for local agricultural production.

Compared with traditional weather stations, the integrated new weather station equipment is less affected by the external environment. For example, the wind speed and direction sensor operating based on the ultrasonic principle obtains more accurate data than the traditional mechanical sensor; measuring rainfall by using optical principles has higher accuracy and a longer service life compared with the original sensor of the rain gauge.

☞The soil moisture monitoring system in the Internet of Things is mainly used to detect soil temperature and soil moisture content. The data collected has important guiding significance for local irrigation and fertilization decisions, so that irrigation and fertilization can also have an "one-on-one" precise plan.

☞The Insect monitoring system uses solar energy and light sources to attract pests, records the captured quantity, uploads data to the cloud platform in real time, scientifically analyzes pest trends, guides precise prevention and control, improves efficiency, and reduces reliance on chemical reagents.