Status quo and development of smart agriculture

Background

China has been a large agricultural country since ancient times. Agriculture is the lifeblood of the national economy, and the development of agriculture is also related to social stability. Although China’s agricultural production labor force is sufficient, but professional technical personnel is relatively short. Many advanced new agricultural technologies cannot be applied in time in our country. This leads to the unreasonable allocation of labor resources and the absence of scientific production methods. Waste of resources, affect output and a series of adverse effects. In order to better solve these problems, make full use of various resources. To further develop China’s agriculture, all parts of the country began to vigorously develop smart agriculture. With the development of science and technology and Internet of Things technology. Wisdom agriculture makes the agricultural field more intelligent, scientific and convenient, which is of great help to the development of agriculture.

Wisdom agriculture

Sensors such as temperature and humidity, wind speed and direction, illumination and gas are commonly used in smart agriculture. The factors affecting crop growth such as temperature and humidity, wind speed and direction are monitored. The important equipment of intelligent agriculture monitoring system is temperature and humidity sensor. Temperature and humidity sensors are widely used in greenhouses. Greenhouse management personnel equipped with temperature and humidity sensors can master the temperature and humidity values in the greenhouse in real time, and can also set the upper and lower limits of temperature and humidity according to the suitable growth environment of crops. When the temperature and humidity value in the shed exceeds the limit, alarm information can be sent to remind the management personnel to pay attention. The light sensor in the intelligent agriculture monitoring system is usually applied to agricultural greenhouse and can be used to detect the light intensity. Managers can see if the light is in the right range for the crops and adjust accordingly.