Digital technologies help transform and upgrade traditional agriculture

User:JXCTUpload time:Oct 29 2021

The contradiction between the expanding population size and the increasingly scarce resources has shown a continuous trend of aggravation in all industries around the world. Especially agriculture, which lies between population and resources and has the highest correlation with both.With the rapid development of digital economy, “digital agriculture” arises at the historic moment.Digital agriculture is to digital information as new production factors of agriculture, use digital information technology for the object, the environment and the whole process of agriculture visualization, digital design and development of new agricultural informatization management form, is under the category of digital economy in digital restructuring way to change and upgrade traditional industries of one of the typical applications.

The Internet of things

Real-time acquisition of agricultural data lays the foundation of agricultural digitization.The IOT has been widely applied in the field of agriculture. Agricultural solutions based on the Internet of Things can improve operational efficiency, expand profits and reduce losses through real-time collection and analysis of field data and deployment of command mechanism.Variable rate, precision agriculture, smart irrigation, smart greenhouse and other iot based applications will drive improvements in agricultural processes.Iot technology can be used to solve unique problems in the agricultural field, build smart farms based on iot, and achieve double harvest of crop quality and yield.

smart greenhouse
Big data

Decision “digitization”, comprehensively improve production efficiency.The Internet of Everything, while promoting access to massive devices, will also generate massive amounts of data in the cloud.And the way to mine the hidden information in the big data generated by the Internet of Things is to use artificial intelligence.The core business value of the Internet of Things is to intelligently analyze and process these massive data, so as to generate various applications based on different business models.

Artificial intelligence (ai)

In the field of planting, AI is expected to increase food production and reduce resource waste.In the field of farming, the use of ARTIFICIAL intelligence can effectively reduce the loss caused by disease.Ai shortens agricultural R&D process.In LABS and research centers, machine learning algorithms can help breed better plant genes, create safer and more efficient crop protection products and fertilizers, and develop more agricultural products.