Toward the application of artificial intelligence (AI) proteomics in the agriculture

Abstract Proteomics enables the comprehensive analysis of proteins that drive cells and is thus the ultimate method for profiling biological systems. However, proteomics analyses are time‐consuming and expensive, which has limited their applications to basic science and advanced medical research. The recent development of technologies enabling the generalization of proteomics has led to its application in new fields. Artificial intelligence (AI) is particularly useful for mining of proteomics data to yield new knowledge, as it allows for the integration of a wide variety of metadata—information considered necessary to explain experimental data. Recent improvements in the capabilities of AI have facilitated the practical and social implementation of proteomics. In this review, we describe how AI proteomics has expanded the scope of biological testing and discuss its potential and prospects for applications in agriculture. The potential of AI proteomics to provide detailed information on the state of seed germination and dormancy is discussed. In addition, we will discuss results of an investigation into barley leaves using high‐throughput proteomics technology, which is the fundamental technology of AI proteomics. In the future, increasing the amount of data and analyzing it with AI is likely to yield insights that were not previously available. Furthermore, the introduction of this technology into the field is expected to enable more accurate and effective crop management.