四川省智慧农业发展水平测度及评价分析

Measurement and Evaluation Analysis of Smart Agriculture Development Level in Sichuan Province

摘要: 智慧农业已成为推动农业现代化转型、助力乡村高质量发展的重要抓手，立足农业数字化和智能化转型发展背景，选取四川省2015~2024年时序数据，从基础设施、智能生产、科技创新、电商物流、产出效益、绿色生态六大维度构建智慧农业综合评价指标体系，运用熵值法测算全省智慧农业逐年发展水平，厘清十年间产业发展时序演变规律。结果表明：2015~2024年四川省智慧农业综合发展水平整体持续攀升，十年间发展成效显著，六大维度均实现不同程度增长，但时序波动特征差异化明显，其中电商物流、智能生产、科技创新是核心增长动力，产出效益和绿色生态发展增速偏缓且稳定性不足，基础设施为基础支撑短板。基于此，提出对策建议。

Abstract: Smart agriculture has become an important starting point for promoting the transformation of agricultural modernization and empowering the high-quality development of rural areas. Against the backdrop of the digital and intelligent transformation and development of agriculture, this study selects the time-series data of Sichuan Province from 2015 to 2024. A comprehensive evaluation index system for smart agriculture is constructed from six dimensions, namely infrastructure, intelligent production, scientific and technological innovation, e-commerce logistics, output benefits, and green ecology. The entropy method is employed to measure the annual development level of smart agriculture in the whole province, and the time-series evolution law of industrial development over the decade is clarified. The results indicate that from 2015 to 2024, the overall comprehensive development level of smart agriculture in Sichuan Province has been continuously rising, with remarkable development achievements over the decade. All six dimensions have achieved varying degrees of growth, but the characteristics of time-series fluctuations are significantly different. Among them, e-commerce logistics, intelligent production, and scientific and technological innovation are the core driving forces for growth. The growth rates of output benefits and green ecological development are relatively slow and lack stability, and infrastructure is the weak link in basic support. Based on these findings, countermeasures and suggestions are put forward.