In recent years, scientists have been working to develop methods for non-destructive root Situ analysis (RSNA), and Artificial Intelligence (AI) has been a crucial tool in this endeavor. In a paper published recently in the journal Vacuum, researchers showed how they used AI to develop an automated system for accurately analyzing root Situ samples.

The team demonstrated the accuracy of their system by using it to classify root Situ samples into two categories—healthy and unhealthy. They found that their AI-based system could identify root Situ samples with almost 100 percent accuracy.

The researchers also used their AI system to study the effects of various environmental factors, such as temperature and humidity, on the health of root Situ samples. They found that temperature and humidity had a significant effect on root Situ health, and that their AI system could accurately predict the health of root Situ samples based on these environmental factors.

The results of this study demonstrate the potential of AI-based systems in non-destructive root Situ analysis and provide a basis for further research in this field.

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source: Phys.org