关键词: artificial intelligence artificial intelligence of things crop diseases internet of things post-pandemic smart agriculture

Mesh : Artificial Intelligence Agriculture Technology Databases, Factual Image Processing, Computer-Assisted

来  源:   DOI:10.3390/s23073752

Abstract:
As the most popular technologies of the 21st century, artificial intelligence (AI) and the internet of things (IoT) are the most effective paradigms that have played a vital role in transforming the agricultural industry during the pandemic. The convergence of AI and IoT has sparked a recent wave of interest in artificial intelligence of things (AIoT). An IoT system provides data flow to AI techniques for data integration and interpretation as well as for the performance of automatic image analysis and data prediction. The adoption of AIoT technology significantly transforms the traditional agriculture scenario by addressing numerous challenges, including pest management and post-harvest management issues. Although AIoT is an essential driving force for smart agriculture, there are still some barriers that must be overcome. In this paper, a systematic literature review of AIoT is presented to highlight the current progress, its applications, and its advantages. The AIoT concept, from smart devices in IoT systems to the adoption of AI techniques, is discussed. The increasing trend in article publication regarding to AIoT topics is presented based on a database search process. Lastly, the challenges to the adoption of AIoT technology in modern agriculture are also discussed.
摘要:
作为21世纪最流行的技术,人工智能(AI)和物联网(IoT)是最有效的范式,在大流行期间在改变农业产业方面发挥了至关重要的作用。人工智能和物联网的融合引发了最近对人工智能(AIoT)的兴趣。物联网系统为AI技术提供数据流,用于数据集成和解释以及自动图像分析和数据预测的性能。AIoT技术的采用通过解决众多挑战,显著改变传统农业场景,包括虫害管理和收获后管理问题。尽管AIoT是智慧农业的重要驱动力,仍然有一些障碍必须克服。在本文中,对AIoT进行了系统的文献综述,以突出当前的进展,其应用,和它的优势。AIoT概念,从物联网系统中的智能设备到人工智能技术的采用,正在讨论。基于数据库搜索过程,提出了有关AIoT主题的文章发表的增长趋势。最后,还讨论了在现代农业中采用AIoT技术所面临的挑战。
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