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Now, science and technology are penetrating into the agricultural field in the form of big data, and industry integration has become an important force for the transformation of China's agricultural production methods. The vision of “making farmers an enviable profession” proposed by policy makers many times is approaching realization under the auspices of technology.
How far is big data from agriculture?
On the eve of the agricultural 4.0 era, the three elements of China's agricultural production have quietly changed. The traditional image of farmers facing the loess and the sky has been advanced, and the power of science and technology has made the rural labor force a "new network peasant." The new tools of the agricultural big data platform in their hands can already monitor the soil, weather, crops and other data at any time; more and more land transfers have also given them greater economies of scale.
Experts believe that agricultural producers in China should be new farmers with technology in the future. With the changes in China's population structure and the rapid development of agriculture, profound changes are taking place in agriculture , and the development of agricultural big data is now at the right time.
What is agricultural big data?
Agricultural big data is a collection of data that combines a wide range of sources, types, complex structures, and potential value, and is difficult to apply ordinary methods to process and analyze.
What are the applications of big data in agriculture?
1. Big data accelerates crop breeding:
The traditional breeding cost is too high, the workload is large, and it takes a long time. Big data has accelerated this process, and the explosion of bioinformatics has led to breakthroughs in genetic histology.
2. Data-driven precision agricultural operations:
Rapid data accumulation. Through big data analysis technology, monitor crop growth, guide irrigation and fertilization, and estimate yield.
3. Big data enables traceability of agricultural products:
Tracking agricultural products from farm to customer helps prevent disease, reduce pollution and increase revenue.
4. Big data restructuring supply chain:
The emergence of new technologies will break the traditional form of solidification. Big data will be used in all aspects of the supply chain; use new planning to optimize the supply chain strategy and network, and promote the supply chain to become the core competitiveness of enterprise development.
As a member unit of the Agricultural Big Data Industry Professional Committee of the Shaanxi Big Data Industry Alliance, Xi'an Chengxin Network will unite all parties interested in serving agriculture-related fields by integrating agricultural big data industry resources, and explore agricultural big data development strategies. Promote smart agriculture and agricultural big data industry to a standardized and industrialized track. With the help of agricultural big data, we will strive to promote the development of our province's enterprises and agricultural industry into a new "fast lane", accompanied by agriculture The rapid development of the industrial economy has contributed to the acceleration of the development of agricultural industry in Shaanxi.