实探内蒙古达拉特旗：人工智能攻克节水灌溉难题

Core Viewpoint - The article highlights the significant advancements in smart agriculture in Inner Mongolia, particularly through the implementation of precision irrigation systems and AI-driven agricultural decision-making models, which enhance crop yield and resource efficiency [1][2][3]. Group 1: Smart Agriculture Implementation - The demonstration farm in Houjiayingzi Village is actively utilizing advanced drip irrigation systems and AI models to optimize corn cultivation, showcasing a successful integration of technology in agriculture [1][3]. - Smart agriculture is crucial for improving farming efficiency, ensuring food security, and stabilizing production, supported by favorable policies and land consolidation efforts [2][9]. Group 2: Water Conservation and Efficiency - The introduction of an advanced drip irrigation system has addressed local water scarcity issues, with the system delivering water directly to the roots of corn plants, significantly reducing water usage [3][4]. - The AI irrigation decision model provides precise recommendations on water and fertilizer application based on data analysis, leading to a reduction in water usage from 300-400 cubic meters to approximately 238 cubic meters per acre, while increasing corn yield by 20% compared to local averages [4][7]. Group 3: Expansion of Successful Practices - The successful irrigation techniques from Houjiayingzi have been replicated in areas with saline-alkali soil, such as the Miaoliquan Farm, resulting in a 63% increase in grain yield [5][7]. - The smart agriculture platform developed by Sinochem Agriculture MAP is designed to manage the entire crop lifecycle, enhancing agricultural productivity by 10% and serving over 1 million acres of farmland [6][8]. Group 4: Policy Support and Future Prospects - The Chinese government is actively promoting smart agriculture through various policies, aiming for a significant increase in agricultural production informationization by 2030 and 2035 [9][10]. - The integration of AI in agriculture is expected to create new applications and value, with ongoing support from national policies and technological advancements [10][11].