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多措并举打造智慧农业好前景

Core Viewpoint - The development of smart agriculture in China is gaining momentum, leveraging technologies such as IoT, cloud computing, big data, and artificial intelligence to enhance agricultural productivity and efficiency [1][2]. Group 1: Market Growth and Trends - China's smart agriculture market is projected to grow from 38.774 billion yuan in 2017 to approximately 100 billion yuan by 2024, with a compound annual growth rate of about 15% [1]. - Major global economies are actively advancing smart agriculture, with examples including Germany's smart breeding technologies, the Netherlands' intelligent greenhouse agriculture, and Japan's focus on small smart equipment development [1]. Group 2: Challenges and Policy Recommendations - The agricultural sector in China faces challenges such as fragmented smallholder farming, weak information infrastructure, low data quality, and limited adoption of smart technologies [2]. - Recommendations include enhancing the policy framework for smart agriculture, optimizing strategic goals, and providing financial support for agricultural technology innovation [2]. Group 3: Data Integration and Management - There is a need to deepen the integration of agricultural data resources and establish unified standards for data collection and transmission [3]. - The development of a comprehensive agricultural big data platform is essential to improve data management and enhance production efficiency [3]. Group 4: Regional Development Strategies - Smart agriculture development should be tailored to China's diverse geographical and climatic conditions, focusing on automation in northern plains and precision management in southern hilly areas [4]. - Examples include the establishment of unmanned farms in northern regions and the use of small intelligent machinery in southern areas to improve agricultural practices [4].