Intelligent terahertz data analysis in agriculture: A systematic review of AI-driven approaches

Key Points

• AI-driven approaches enhance terahertz data analysis, improving disease detection in crops.
• Key findings suggest AI can accurately analyze terahertz data, showing over 90% accuracy in specific assessments.
• Systematic review of various AI methodologies demonstrates their utility in precision farming applications across multiple crops.
• This analysis highlights the potential for AI to optimize agricultural productivity, though extensive field validation is needed.