智能“新农友”上岗 种田也可以酷炫

Core Viewpoint - The integration of advanced technologies such as AI, cloud computing, and drones in agriculture is transforming traditional farming practices into smart, efficient operations, significantly enhancing productivity and reducing costs [3][5][8]. Group 1: Smart Agricultural Machinery - A variety of intelligent agricultural machines are now operational, including autonomous rice transplanters and AI-driven wheat harvesters, which are improving operational efficiency and precision in farming [1][8]. - The use of cloud platforms for agricultural machinery allows for real-time information sharing and intelligent scheduling, enhancing the management of farming operations [3][4]. - The implementation of the "Agricultural Machine Manager" mobile platform enables farmers to monitor and manage machinery operations remotely, increasing efficiency and reducing the need for physical oversight [3][4]. Group 2: Drone Technology in Agriculture - Drones are being utilized for various agricultural tasks such as fertilization, pest control, and seedling transportation, significantly speeding up these processes compared to traditional methods [5][6]. - The cost-effectiveness of using drones is highlighted, with examples showing that drone-assisted operations can reduce costs from over 30,000 yuan to around 6,000 yuan for large-scale fertilization tasks [5]. - The introduction of drones for precision spraying and monitoring is enhancing the effectiveness of pest control and crop management, allowing for more targeted interventions [5][7]. Group 3: New Farmers and Technology Adoption - A new generation of farmers, often referred to as "new farmers," is embracing technology in agriculture, utilizing advanced machinery and techniques to modernize farming practices [8]. - These new farmers are not only adopting technology but are also educating traditional farmers about modern agricultural practices, thereby facilitating the spread of innovative techniques [8]. - The emergence of "smart farming" is characterized by the use of data analytics and precision agriculture tools, which are becoming increasingly popular among younger farmers [8].