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GPT技术驱动的农业发展范式研究与展望

李灯华 李干琼 许世卫 陈威

农业展望2023,Vol.19Issue(12):73-80,8.
农业展望2023,Vol.19Issue(12):73-80,8.

GPT技术驱动的农业发展范式研究与展望

Research and Prospects on the Agricultural Development Paradigm Driven by GPT Technology

李灯华 1李干琼 1许世卫 1陈威1

作者信息

  • 1. 中国农业科学院农业信息研究所/农业农村部农业监测预警技术重点实验室/北京市农业监测预警工程技术研究中心 北京 100081
  • 折叠

摘要

Abstract

Currently,artificial intelligence technologies such as machine learning and natural language understanding are continuously evolving,with key advancements in the Transformer model architecture and reinforcement learning based on human feedback.The development of generative AI large language models driven by GPT(Generative Pre-trained Transformer)technology has made significant progress,indicating an innovation explosion reminiscent of the Cambrian explosion,and is accelerating the arrival of the era of general artificial intelligence.The deep integration of GPT technology with agriculture and rural areas is set to trigger a transformation towards intelligent operations and will have a wide-reaching and profound impact on these sectors.Multimodal large models in agricultural artificial intelligence are poised to become a hotbed of scientific and technological innovation within the field of agriculture.The application of AI technologies in smart breeding,intelligent crop and soil monitoring and early warning systems,intelligent identification and alert systems for pests and diseases,agricultural robots,and intelligent expert systems were analyzed.This paper suggested paths for the development of agricultural GPT technology,including the construction of large-scale agricultural annotated corpus,the research and construction of multimodal large models for agriculture,the development of intelligent multimodal model interaction terminals,and the deployment of large model-based agricultural application scenarios.The analysis also looked forward to the role of GPT technology in facilitating paradigmatic innovations in agricultural production,operations,management,services,and scientific research.

关键词

GPT/人工智能/大语言模型/深度学习/农业

Key words

GPT/artificial intelligence/large language model/deep learning/agriculture

引用本文复制引用

李灯华,李干琼,许世卫,陈威..GPT技术驱动的农业发展范式研究与展望[J].农业展望,2023,19(12):73-80,8.

基金项目

中国农业科学院科技创新工程项目(CAAS-ASTIP-2023-AII) (CAAS-ASTIP-2023-AII)

农业展望

1673-3908

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