The technical composition of smart agriculture includes the key technologies in the following aspects:
Internet of Things (IoT): The Internet of Things (IoT) is the basic technology of smart agriculture, which converts physical information in various environments such as farmland, greenhouses, and breeding farms into digital signals through sensors and monitoring equipment, and transmits and analyzes them through the Internet.
Big data analysis: Analyze and mine a large amount of data such as farmland, crops, meteorology, and markets, so as to obtain the insights and capabilities needed for decision-making. Through big data analysis, the monitoring and optimization of farmland conditions, pests and diseases can be realized, the agricultural production process can be optimized, and the quality and market competitiveness of agricultural products can be improved.
Artificial intelligence (AI): AI technology plays an important role in smart agriculture, such as image recognition technology can be used for automatic identification of crop pests and diseases, and decision support systems use machine learning algorithms to provide precise agricultural management recommendations.
Blockchain technology: Blockchain technology can improve the traceability of agricultural products in smart agriculture and ensure the quality and traceability of agricultural products.
Unmanned aerial vehicle (UAV) technology: UAVs can take aerial photographs, obtain real-time image data of farmland, farms, etc., and provide information such as crop growth status and soil moisture through image processing and analysis, which is helpful for farmers' decision-making and refined management.
Cloud computing: Cloud computing technology provides powerful computing and storage capabilities to support the processing and management of large-scale data in smart agriculture, enabling farmers and experts to access and share agricultural information anytime, anywhere.
Mobile Internet: The popularity of mobile Internet has enabled farmers to access real-time agricultural information and communicate with experts and agricultural service providers through mobile devices such as smartphones, facilitating agricultural management and decision-making.
These technologies combine to form a technical system for smart agriculture, providing more efficient, intelligent and sustainable solutions for agricultural production.