With the continuous development of science and technology, smart agriculture has become a new driving force for improving agricultural production efficiency. Smart agriculture refers to the use of advanced information technology to realize the intelligence and refinement of agricultural production. Through the application of smart agriculture, agricultural production efficiency can be improved, production costs can be reduced, and the quality of agricultural products can be improved, thereby bringing more economic benefits to farmers.
First, the development process of smart agriculture.
Smart agriculture originated from precision agriculture in the 90s of the 20th century. Precision agriculture uses information technologies such as global positioning systems, remote sensing technology, and geographic information systems to achieve precise management of farmland. With the development of technologies such as the Internet of Things, cloud computing, and big data, precision agriculture is gradually transforming into smart agriculture. Through intelligent technology, smart agriculture realizes comprehensive perception, real-time monitoring and intelligent decision-making of farmland, and further improves agricultural production efficiency.
Second, the application of smart agriculture.
1.Intelligent monitoring and management.
Smart agriculture uses the Internet of Things technology to realize the intelligent monitoring and management of farmland. By installing sensors, cameras and other equipment, environmental parameters such as temperature, humidity, light, soil nutrients and other environmental parameters of the farmland can be monitored in real time, as well as the growth status of crops. This data is transmitted to the cloud platform through the Internet of Things technology, and after analysis and processing, it provides farmers with scientific planting decisions. According to the analysis results of the cloud platform, farmers can adjust the planting plan, fertilizer amount, irrigation method, etc., to achieve refined management.
2.Intelligent decision-making and planting.
Smart agriculture uses big data and artificial intelligence technology to realize intelligent decision-making and planting of farmland. Through the learning and analysis of a large number of historical data, artificial intelligence technology can provide farmers with scientific planting decisions for the growth status of crops, the probability of pests and diseases, and the yield. Farmers can formulate reasonable planting plans based on the best results of artificial intelligence technology to improve the yield and quality of crops. At the same time, intelligent decision-making can also help farmers reduce production costs, reduce environmental pollution, and promote sustainable agricultural development.
3.Intelligent agricultural machinery and equipment.
Smart agriculture uses intelligent technology to realize the intelligent upgrading of agricultural machinery and equipment. Through the installation of sensors, controllers and other equipment, remote control, automatic operation, intelligent scheduling and other functions of agricultural machinery and equipment can be realized. For example, intelligent tractors can achieve precise sowing and fertilization through GPS positioning systems; The intelligent irrigation system can automatically adjust the amount of water according to soil moisture and crop water demand; Intelligent harvesting machinery can be automated according to the maturity of the crop. The application of these intelligent technologies not only improves agricultural production efficiency, but also reduces labor intensity and improves the quality of operations.
4.Traceability of the quality of agricultural products.
Smart agriculture uses the Internet of Things and blockchain technology to achieve safe traceability of the quality of agricultural products. Through the establishment of a traceability system for the quality of agricultural products, the production, processing, transportation, sales and other aspects of agricultural products can be recorded and managed throughout the process. Consumers can understand the production process and quality information of agricultural products by scanning *** and other ways to ensure food safety. At the same time, the quality traceability system can also help farmers establish a brand image, improve product added value and market competitiveness.
3. The future development of smart agriculture.
With the continuous development of science and technology, smart agriculture will play a more important role in agricultural production in the future. In the future, the development of smart agriculture will pay more attention to the innovation and application of intelligent technologies, such as drones, unmanned agricultural machinery, biotechnology, etc. The application of these technologies will further improve agricultural production efficiency, reduce production costs, improve the quality of agricultural products, and promote the sustainable development of agriculture. At the same time, smart agriculture will also focus on the combination of new agricultural models such as ecological agriculture and circular agriculture to promote the diversified development of agriculture.