Development trend of digital agriculture in China

"Digitization" is the most powerful expression of technology enabling agriculture.

Under the background of rapid development of digital economy, "digital agriculture" comes into being. Digital agriculture is a new agricultural development form that takes digital information as a new agricultural production factor and uses digital information technology to visually express, digital design and information management agricultural objects, environment and the whole process. It is one of the typical applications of digital reorganization to transform and upgrade traditional industries under the category of digital economy.

1. Agricultural Internet of Things

In essence, agricultural iot is a set of numerical control system. In a specific closed system, objects are connected based on devices such as probes, sensors, and cameras. It automatically regulates and operates according to the parameters and models that have been determined. Due to the need for hardware equipment investment and networking as the basis, so the investment is large, mainly used for the management and operation of the production process of facility agriculture, but also used for the processing of agricultural products, warehousing and logistics management.

2. Agricultural big data

Agricultural big data is a concept corresponding to the agricultural Internet of Things. It is a data system that collects, identifies and identifies data in an open system, builds a database, combines and optimizes multidimensional and massive data through parameters, models and algorithms, provides basis for production operations and business decisions, and realizes partial automatic control and operation. Because it operates in a completely open system, it is mainly used for the production of field agriculture and the operation and management of the whole agricultural industry chain.

3. Precision agriculture

Precision agriculture is an executive and operating system based on farm machinery hardware. It is mainly based on the single machine hardware of agricultural machinery, equipped with detection equipment and intelligent control software, so as to achieve accurate operation, variable control (including variable sowing, variable fertilization, variable spraying, etc.), unmanned driving, and ideal working environment and scene adaptation. Precision agriculture emphasizes the precise and intelligent control of (single) equipment and facility operation, which is hardware + software.

4. Smart agriculture

Intelligent agriculture is an expert decision-making system based on empirical model, and its core is software system. Intelligent agriculture emphasizes intelligent decision-making system with a variety of hardware facilities and equipment, which is system + hardware. The decision model and system of smart agriculture can be widely applied in agricultural Internet of Things and agricultural big data.

What are the advantages of digital agriculture

1. Agricultural production is highly specialized, large-scale and entrepreneurial

The specialization of American agricultural production is multilevel, which is mainly manifested in regional specialization, farm specialization and production technology specialization. The continental United States is divided into several major crop belts, each of which is more suitable for the growth of one crop. In this way, each belt is tailored to local conditions, achieving a good combination of specialization and scale, and forming a modern industrial model of specialized production, intensive operation and enterprise management.

2. Improved agricultural production system

The United States has developed a well-developed agricultural production system closely linked with pre-production, mid-production and post-production, including the production and supply of agricultural means of production, as well as post-harvest storage, transportation, processing and sales of agricultural products. They have clear division of labor, efficient cooperation, and agricultural production is orderly and efficient under the maintenance of the relevant agricultural legal system.

The development trend of future digital agriculture

Modern agriculture 4.0 characterized by "digitalization" is undoubtedly the future. Digital agriculture will bring higher industrial efficiency, more equitable value distribution, and more sustainable development mode.

1. Data supply customization

Data resources are the cornerstone of developing digital agriculture. At present, China's digital agriculture faces the dilemma of high data collection cost. As data thinking takes hold, the organizational costs of data acquisition will drop dramatically; With the upgrading of the agricultural Internet of Things, the continuous open source of public data and the improvement of the informatization level of practitioners, the explicit cost of data acquisition will continue to decrease. All future agricultural industry units will have customized data supply systems. Moreover, the static resources in the data warehouse will flow into the industrial chain with the improvement of the digital ability of the owner. Through exchange, integration or regeneration, the static resources will continuously create value and realize the digital drive of the business.

2. Localization of data model

Discovering the value of data is the driving force behind the development of digital agriculture. Israel can sell us the hardware, but never open the back office, because the real core technology is the model to realize the value of the data. At present, with the intensification of scientific and technological competition among great powers, the barriers to the introduction of scientific and technological achievements are increasing. Moreover, due to the large differences in agricultural forms at home and abroad, we cannot apply foreign models and models. On the other hand, China constantly encourages the industrial transformation of scientific research achievements, and the cross-border cooperation between industry and academia, agriculture and data science is gradually deepening. Therefore, it is the general trend to realize the independent research and development of industrial core data models.

3. Intelligent agricultural machinery

There is only a "data-driven" distance between mechanization and intelligence. The Made in China 2025 strategy clearly takes "intelligent manufacturing" as the main direction and follows the market trend. Established manufacturers such as Haier and Goldwind have actively carried out digital transformation and sought new growth points. Agricultural machinery manufacturers will also continue to use data to empower machinery, adapt to the scene needs of digital farms, and realize the transformation and upgrading from manufacturers to service providers.