Abstract:

At the backdrop of multiple challenges faced by rice production in China, including labor shortages, resource waste, and environmental pollution, smart agriculture technologies are increasingly becoming a critical pathway for driving the green transformation of the rice industry. This paper takes typical major rice-producing regions such as Heilongjiang, Jiangsu, Zhejiang, and Jiangxi as examples to systematically analyze the application effects of core smart technologies—including precision agriculture, the Internet of Things (IoT), and artificial intelligence (AI)—throughout the entire rice cultivation process. The research demonstrates that these technologies can significantly reduce pesticide and fertilizer application by 28%-42%, increase water use efficiency to over 70%, raise per-unit yield by 13%-16%, and lower overall production costs by more than 30%. Furthermore, smart agriculture contributes to improving farmland ecological environments, enhancing the climate resilience of rice production systems, and attracting young people back to rural employment. The paper also explores the potential integration of cutting-edge technologies such as quantum computing and blockchain into future rice production and proposes promotion recommendations based on regional differences, offering a feasible pathway for the intelligent development and green transformation of rice production in China.

Key words: rice production, precision agriculture, internet of things, artificial intelligence, multidimensional benefits

摘要：

在中国水稻生产面临劳动力短缺、资源浪费与环境污染等多重挑战的背景下，智慧农业技术正逐步成为推动水稻产业绿色转型的重要路径。本文以黑龙江、江苏、浙江、江西等典型水稻主产区为例，系统分析了精准农业、物联网、人工智能等核心智慧技术在稻作全流程中的应用效果。研究表明，相关技术应用可显著降低农药与化肥施用量28%~42%，将水资源利用率提升至70%以上，实现单产增长13%~16%，并降低综合生产成本超过30%。此外，智慧农业还有改善农田生态环境，增强水稻生产系统对气候变化的适应能力的作用。本文进一步展望了量子计算与区块链等前沿技术在未来水稻生产中的融合潜力，并基于区域差异性提出推广建议，为我国水稻生产的智能化发展与绿色转型提供可行路径。

关键词: 水稻生产, 精准农业, 物联网, 人工智能, 多维效益