essay · 2026-09-14

AI-augmented Ethnobotany

Recent studies indicate that artificial intelligence offers powerful tools to address problems like inconsistent quality and energy-intensive processing in plant agriculture [5]. By systematically mapping vernacular practices against biomedical data, researchers can clarify the therapeutic relevance of traditional remedies used for respiratory disorders [6]. This approach allows sustainable use of medicinal flora through mobile or web-based identification tools accessible to healthcare practitioners [20]. The integration of AI creates new opportunities to bring technology into ethnobotany while ensuring scientific grounding for ancient knowledge. These findings matter because they provide a concrete framework for validating traditional medicine without relying on inefficient manual verification methods.

Sources

• (PDF) Machine Learning in Ethnobotany - ResearchGate
• Advancing Medicinal Plant Research with Artificial Intelligence: Key Applications and Benefits
• (PDF) Machine Learning in Ethnobotany -- a first experiment
• Ethnopharmacobotanical investigation of plants used for respiratory disorders in Transylvania, Romania - PubMed
• Artificial intelligence applications in medicinal and aromatic plants ...
• PDF AI-Based Medicinal Plant Identification: A Survey
• Unveiling the Future of Ethnobotany with Large Language Models
• Ethnobotany in the digital age: Opportunities and challenges of ...