Faculty of Data Science & Computing, University Malaysia Kelantan, City Campus, Kota Bharu 16100, Kelantan, Malaysia.
Institute for Artificial Intelligence and Big Data, Universiti Malaysia Kelantan, City Campus, Kota Bharu 16100, Kelantan, Malaysia.
Sensors (Basel). 2023 Apr 5;23(7):3752. doi: 10.3390/s23073752.
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.
作为 21 世纪最受欢迎的技术，人工智能（AI）和物联网（IoT）是在大流行期间改变农业产业的最有效范例。人工智能和物联网的融合引发了人们对物联网人工智能（AIoT）的兴趣浪潮。物联网系统为人工智能技术提供数据流，用于数据集成和解释，以及执行自动图像分析和数据预测。通过采用 AIoT 技术，解决了许多挑战，包括病虫害管理和产后管理问题，从而彻底改变了传统农业的格局。尽管 AIoT 是智能农业的重要推动力，但仍存在一些必须克服的障碍。本文对 AIoT 进行了系统的文献综述，以突出其当前的进展、应用和优势。讨论了从物联网系统中的智能设备到采用人工智能技术的 AIoT 概念。根据数据库搜索过程，展示了与 AIoT 主题相关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。
