Plasma technology can be applied in different stages of agricultural production with increasing yield and improving quality. The promotion effect of plasma on agriculture depends on the plasma treatment parameters and effective methods of plasma diagnostics. In order to obtain optimized plasma treatment parameters and identify plasma agricultural objects, it is necessary to combine with artificial intelligence (AI), which can play an important role in plasma diagnosis and plasma agricultural applications. In our studies, plasma discharge spectra were effectively identified by building an AI model. In order to identify agricultural objects by plasma treatment at different stages of agricultural production, different AI models were constructed, showing the effectiveness of AI in plasma agriculture. These results also show the practical application and advantages of the plasma-agriculture-AI multidisciplinary combination.