A review of research on multimodal knowledge graphs in agriculture

Hongyi Chi; Jianglong Liu; Junhui Wu; Kaiyan Lin; Jue Gong; Zixi Chen

doi:10.1117/12.3013264

29 November 2023 A review of research on multimodal knowledge graphs in agriculture

Hongyi Chi, Jianglong Liu, Junhui Wu, Kaiyan Lin, Jue Gong, Zixi Chen

Proceedings Volume 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023); 129371H (2023) https://doi.org/10.1117/12.3013264
Event: International Conference on Internet of Things and Machine Learning (IoTML 2023), 2023, Singapore, Singapore

Abstract

In recent years, knowledge graphs have made great progress in the field of agriculture. However, the traditional knowledge graph construction is mainly based on the single modality of text, but in the actual production of agriculture, it is often difficult to accurately describe the real data scene by using the single-modal data to construct knowledge graphs, thus increasing the limitations of the use of knowledge graphs. The article provides a detailed introduction to the basic concepts of multimodal knowledge graphs and the core technologies. For the application of multimodal knowledge graph in agriculture, the article focuses on summarizing the research on the application of knowledge graph in agricultural intelligent question and answer, crop monitoring, agricultural product recommendation and other fields in agriculture. It also looks forward to and analyses the challenges of constructing multimodal knowledge graph in agriculture and the prospect of multimodal knowledge graph in the field of agriculture.

(2023) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Hongyi Chi, Jianglong Liu, Junhui Wu, Kaiyan Lin, Jue Gong, and Zixi Chen "A review of research on multimodal knowledge graphs in agriculture", Proc. SPIE 12937, International Conference on Internet of Things and Machine Learning (IoTML 2023), 129371H (29 November 2023); https://doi.org/10.1117/12.3013264

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KEYWORDS

Agriculture

Feature extraction

Semantics

Visualization

Data modeling

Image fusion

Neural networks

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