精准施策让农业更“智慧”

Core Insights - The 20th Central Committee's Fourth Plenary Session emphasizes enhancing agricultural production capacity and quality, promoting rural development, and improving agricultural policies' effectiveness [1] - The recent "National Smart Agriculture Action Plan (2024-2028)" aims to reshape the agricultural value chain driven by data elements, increasing the informatization rate of agricultural production [1] Group 1: Current Developments - Significant advancements in smart agriculture have been made in network infrastructure, data volume, and application scenarios, with notable pilot projects and innovations across various regions [1] - As of July 2023, there are approximately 4.6 million 5G base stations nationwide, with over 99% broadband coverage in administrative villages, facilitating extensive data collection and application in agriculture [1] Group 2: Challenges and Shortcomings - The industry faces issues such as data silos, a talent gap, inconsistent data standards, and a shortage of skilled professionals who understand both agriculture and technology [2] - Key technologies like agricultural sensors and AI models are at risk of being "stuck," with high equipment costs and low return on investment hindering large-scale application [2] Group 3: Strategic Recommendations - Establish a unified provincial-level system for land coding, equipment interfaces, and traceability standards to enhance data flow and value realization [2] - Implement a "Smart Agriculture Talent Plan" to support the establishment of interdisciplinary programs in universities and regional operation centers to cultivate skilled professionals [2] Group 4: Technological and Economic Solutions - A special fund for smart agriculture technology will prioritize support for domestic solutions that are interconnectable, easy to maintain, and upgradeable, aiming to reduce integration and operational costs [3] - Financial support should include subsidies for key smart equipment and promote light-asset models like leasing and managed services to lower costs for farmers [3] Group 5: Sustainable Application Scenarios - Develop a low-altitude precision agricultural service model that integrates drone technology for real-time monitoring and precise farming operations, enhancing yield and quality stability [4] - Establish a low-altitude scheduling platform to improve operational efficiency and link performance metrics to incentives, thereby enhancing the overall agricultural value chain [4]