“无人农场”“云端种地” 山东用科技力量挑起农业大梁

Core Viewpoint - The article highlights the transformation of agriculture in Shandong province through the integration of technology, moving from traditional farming methods to smart, data-driven agricultural practices, thereby enhancing productivity and sustainability [1][12]. Group 1: Technological Advancements in Agriculture - Smart agricultural machinery is reshaping production scenes, transitioning from "human-led" to "cloud-based" farming [1]. - The use of drones for fertilization and pest control, along with AI systems for monitoring, is becoming standard in Shandong's agricultural practices [1][4]. - As of now, Shandong has established over 1,000 smart agriculture scenarios, including more than 20,000 acres of intelligent greenhouses and 1.8 million agricultural drones, covering over 170 million acres of operational area annually [6][12]. Group 2: Data-Driven Management - A comprehensive digital management system is being developed, allowing for real-time data collection and analysis, which enhances decision-making in agricultural practices [7][11]. - The integration of satellite navigation and AI technology enables precise operations in farming, such as autonomous harvesting and planting [8][11]. - The "Qilu Agricultural Cloud" platform consolidates agricultural data resources, totaling 2.94 billion entries, facilitating a data-driven management approach [11]. Group 3: Industry Collaboration and Ecosystem Development - Shandong is promoting a collaborative ecosystem that integrates technology, industry, and talent to enhance agricultural productivity [12][13]. - The province is breaking down silos in the agricultural supply chain, ensuring a seamless connection from production to market [12]. - Initiatives like the "High Tang Agricultural Brain" project digitize local agricultural knowledge, providing farmers with easy access to expert advice and resources [9][12]. Group 4: Future Outlook - Future plans include expanding the application of "space-ground" technology in agriculture and promoting AI models across various crop types [14]. - Continued investment in digital agriculture is expected to enhance connectivity between provincial and local systems, making smart agriculture more accessible [14].