The Application and Impact of ChatGPT-like Artificial Intelligence Language Models in Agricultural Production and Scientific Research

Abstract: ChatGPT, Wenxin Yiyan, Tongyi Qianwen, Pangu NLP, Hunyuan, Ririxin, Sequence Monkey, etc. are natural language processing models based on artificial neural networks. They can engage in dialogue with humans, answer questions, and help people obtain information, knowledge, inspiration, and complete creative tasks such as writing emails, creating video scripts, copywriting, translation, writing codes, and producing papers more efficiently and conveniently. Recently, they have been gradually applied to various industries. This paper aims to explore the application prospects of CHatGPT-like artificial intelligence products in agricultural production and research, as well as analyzing the possible impacts and problems. The potential applications of ChatGPT and other language models in agricultural production mainly include agrometeorological forecasting, recommendation of crop varieties and management measures, management of livestock and aquaculture, identification of crop diseases, pests, weeds, agrochemical (fertilizers, pesticides, herbicides, fungicides) damages and nutrient deficiency symptoms, as well as seedling diagnosis, agricultural products and food quality detection, construction of agricultural knowledge map and intelligent agricultural question answering system, etc. They can provide decision support for agricultural technicians and farmers, help them complete agricultural operations more precisely, and improve the level of intelligence, scientific and technological content and production efficiency. Their applications in agricultural research mainly include literature retrieval and review, data mining and analysis, research report and paper generation, agricultural standards and main promotion technology formulation, book compilation, as well as transformation and popularization of scientific and technological achievements. The application of ChatGPT-like artificial intelligence can greatly improve the efficiency of agricultural production, make agricultural research more accurate, efficient and convenient, and bring valuable opportunities for agricultural development. However, their applications have also brought some unprecedented challenges, for example, some agricultural technology extension personnel, agricultural science popularization workers may be replaced, and farmers with poor learning ability will be eliminated. Agricultural producers and researchers must learn how to apply ChatGPT-like artificial intelligence language models, and constantly improve the level of application skills to improve work and production efficiency, which has higher requirements for the knowledge level, learning and innovation ability of agricultural producers and researchers. In addition, ChatGPT-like language models also have some self-problems and shortcomings, such as user information leakage, data and intellectual property security risks, factual errors, poor real-time, lack of stability and repeatability, etc. The development of this emerging technology is triggering a new round of artificial intelligence ethical disputes. In short, the application of ChatGPT-like artificial intelligence language models in agricultural production and scientific research will have a positive impact on agricultural development, and implant "smart chips" and install "smart brains" for modern agriculture. Meanwhile, there are some uncertain and unpredictable consequences, which need to be discussed in practice.