Development and Prospect of Smart Agriculture

The rise and fall of agriculture determines people's living standards, and affects the development of the national economy and its position in international competition.

Since the implementation of the household contract responsibility system, my country's agriculture has achieved remarkable results. The per capita possession of various food crops, vegetables, fruits, meat and other products ranks first in the world.

With the rapid development of modern information technology and its widespread application in the agricultural field, smart agriculture will bring revolutionary technological innovation to the development of modern agriculture. Vigorously develop digital agriculture, implement smart agriculture, forestry, and water conservancy projects, and promote Internet of Things experiments and demonstrations and the application of remote sensing technology. It marks the rapid development of smart agriculture.

Using high and new technology and Internet technology to develop smart agriculture, the change of traditional agricultural production methods is an inevitable trend of contemporary agricultural development, and it is also a new type of further accelerating rural economic development, increasing farmers' income, accelerating the process of agricultural industrialization, and enhancing the comprehensive competitiveness of agriculture. The agricultural model and an important part of modern agriculture will provide a strong guarantee for the development of modern agriculture in my country.

Technical characteristics

In the agricultural production process, not only can intelligent monitoring video and other equipment and intelligent alarm system be used to monitor the production environment and growth of agricultural products in real time, such as soil nutrients, light intensity, temperature, plant nutrients, etc., but also can accurately obtain real-time crop growth information. Data can provide accurate control basis for crop growth and improve crop yield and quality. Using the specific information of agricultural products (logistics and growth information of agricultural products) in the decision-making system can improve the refinement, efficiency, specialization and digitization of agricultural product process management and control.

Intelligent management of agricultural production

The intelligent production management of agricultural products is mainly reflected in planting, breeding and other links. Relying on the Internet of Things, cloud computing, and big data to monitor the production process in real time, it can not only combine environmental production factors, such as water, fertilizer, gas, heat and other crop growth environments, but also combine The expert system makes corresponding solutions to make the agricultural production process more refined, visualized, intelligent, simplified and modernized, which is a key step in gradually upgrading agricultural production to industrial production. It provides a theoretical basis for digitization, digitization, and visualization, and changes the problems of low modernization of traditional agricultural models, such as intelligent greenhouses, integrated water and fertilizer systems, and factory-based seedlings.

Agricultural basic resource management and agricultural product quality supervision and management

Agricultural basic resource management and agricultural product quality supervision and management mainly use the Internet of Things, big data, cloud computing, 5G technology and new communication technology to track and manage agricultural product resources.

Accurately obtain basic agricultural data and quality supervision information, and effectively understand data changes and agricultural situation in real time through visual aggregation and classification, and adjust product production and consumption indicators in a timely manner based on feedback information, providing decision-making and timely understanding of key information. Reliable and accurate data information and real-time feedback provide data support and technical support for the establishment of the agricultural product quality supervision and safety traceability system, and realize the traceability of the entire chain of production, purchase, sales and consumption of edible agricultural products.

Agricultural product logistics sales management and operation services

At present, the development of smart agriculture has received full attention in my country, and the country has successively issued a series of policies and measures to support the development of smart agriculture.

The future development trend of smart agriculture mainly focuses on low cost, intelligence, simplicity, collaboration, visualization, integration, and open management. Smart agriculture can not only improve the quality of agricultural development, promote the overall upgrading of agriculture, and promote the implementation of the national rural revitalization strategy, but also realize the differentiation of intelligent production and the application of comprehensive information services in the service field, which promotes the overall upgrading of agriculture; based on national macro information, Using information technology to make decisions on agricultural activities, by helping farmers to grasp market demand and price changes, make corresponding strategic adjustments to the agricultural product market, guide and promote the rationalization of the agricultural industry structure, and promote the continuous development of agriculture.

For example: in the process of planting and production, automatic high-precision sowing is used according to the position of the seeds, etc., and the automatic irrigation system and fertilization system are used according to the law of water consumption and nutrition of crop growth. Automatic, intelligent and convenient control.

The use of unmanned plant protection machines realizes green control of pests and diseases and precise spraying, which greatly reduces production costs and labor costs.

In the breeding industry, environmental monitoring, regular and quantitative feeding, intelligent manure removal, disease prevention, safe slaughtering and quality traceability are all easily achieved through the smart agriculture platform. Therefore, it is necessary to start from the breakthrough of key technologies, the achievement of social consensus, and the overall planning to promote the long-term development of smart agriculture.