What is the difference between the two emerging concepts of smart agriculture and digital agriculture

Smart agriculture and digital agriculture are two emerging concepts, they are the use of advanced technical means to promote the modernization of agriculture and intelligent development, but they have some differences in the concept, technology application and development direction.

First of all, smart agriculture emphasizes the use of advanced information technology, communication technology and automation technology for intelligent management and control of agricultural production. The core of smart agriculture is to realize intelligent monitoring, management and decision-making of the whole process of agricultural production through the Internet of Things technology, big data analysis, artificial intelligence and other technologies. For example, sensors are used to monitor soil moisture and crop growth, and through cloud computing and big data analysis, precise fertilization and precision irrigation are achieved, thereby improving agricultural production efficiency, reducing costs, reducing resource waste, and achieving sustainable development.

Digital agriculture puts more emphasis on the use of digital technologies, including information technology, communication technology, sensor technology, etc., to digitally manage and optimize agricultural production processes. Digital agriculture emphasizes the use of digital technology to collect, store, process and transmit various data in agricultural production, including soil information, meteorological information, crop growth information and so on. Through the analysis and application of these data, precision agriculture management, precision fertilization, precision irrigation, etc., can be achieved to improve the precision and efficiency of agricultural production.

From the perspective of technology application, smart agriculture puts more emphasis on the use of advanced information technology and automation technology, such as artificial intelligence, machine learning, automated control, etc., to achieve intelligent management and control of agricultural production. Digital agriculture puts more emphasis on the use of digital technology to collect and analyze various data in the agricultural production process to achieve digital management and optimization of agricultural production.

In terms of coverage, digital agriculture mainly involves the digital management and application of agricultural production process, including agricultural data collection, processing and application. Digital agriculture has a wide range of applications, covering farming, animal husbandry, fisheries and other agricultural production fields.

On the basis of digital agriculture, smart agriculture further realizes intelligent and automated agricultural production, including intelligent decision-making and automatic control. The application range of smart agriculture is wider, not only covering the field of agricultural production, but also involving the processing and circulation of agricultural products.

In terms of functional characteristics, digital agriculture focuses on data collection, processing and application, quantifies agricultural elements through digital technology, and realizes digital management and application of agricultural production. Digital agriculture has the characteristics of data, refinement and intelligence, which can provide more accurate data support and services for agricultural production.

Smart agriculture puts more emphasis on intelligence, automation and high efficiency, and realizes automatic decision-making and automatic control of agricultural production through intelligent technology. Intelligent agriculture has the characteristics of high intelligence, automation and high efficiency, and can realize automated, intelligent and unmanned agricultural production and management.

Digital agriculture quantifies agricultural elements through digital technology to achieve digital management and application of agricultural production. For example, digital agriculture can obtain farmland growth data through satellite remote sensing technology, and achieve accurate monitoring and management of farmland growth conditions through data processing and analysis technology.

Intelligent agriculture realizes automatic decision-making and automatic control of agricultural production process through intelligent technology, and improves agricultural production efficiency and quality. For example, smart agriculture can realize the automatic diagnosis and control of crop diseases and pests through intelligent technology, and realize the automatic management of farmland irrigation and fertilization through automatic control technology.