What is the smart agriculture definition

User:JXCTUpload time:Oct 24 2021
Smart Agriculture Definition:

Smart Agriculture Definition, Smart agriculture is also called smart agriculture, agricultural Internet of Things, high-standard farmland construction, and digital agriculture. It is the embodiment of intelligent production in agricultural development. With the development of the times and technology, agricultural production is becoming more and more intelligent. This greatly improves the efficiency of agricultural production and provides smart agricultural equipment to farmers. Help farmers save labor and time and save costs in agricultural environmental monitoring.


Jingxun unblocked smart agriculture solutions. It integrates the emerging Internet, mobile Internet, cloud computing and Internet of Things technologies. Provide precision planting, visual management, and intelligent decision-making for agricultural production. Jingxun Changtong has developed a variety of agricultural IoT sensors and agricultural IoT devices on Smart Agriculture. Soil comprehensive sensors, soil moisture sensors, soil tensiometers, portable soil parameter detectors, irrigation controllers, agricultural weather stations and many other products.

smart agriculture definition
smart agriculture definition

Jingxuntong Smart Agriculture can effectively improve the agricultural ecological environment. Take farmland, livestock farms, aquaculture bases and other production units and the surrounding ecological environment as a whole. And through its material exchange and energy cycle relationship for systematic and precise calculation. Ensure that the ecological environment of agricultural production is within a tolerable range. Such as quantitative fertilization will not cause soil compaction. The livestock and poultry manure discharged after treatment will not cause water and air pollution. On the contrary, it can improve soil fertility and so on.

Jingxun unblocked the smart agriculture definition. Real-time monitoring based on precision agricultural sensors, and multi-level analysis using cloud computing, data mining and other technologies. And link analysis instructions with various control equipment to complete agricultural production and management. This kind of intelligent machinery replaces human agricultural labor and not only solves the problem of increasing shortage of agricultural labor force. Moreover, the agricultural production is highly scaled, intensive, and industrialized. Improve the ability of agricultural production to respond to natural environmental risks, and turn the disadvantaged traditional agriculture into a highly efficient modern industry.