Artificial intelligence and digitization tools offer botanists new pathways to identify and preserve plant species before extinction, according to research from Royal Botanic Gardens, Kew. The technology enables scientists to track phenological shifts, rapidly catalog new specimens, and extract genetic data from preserved fungal collections spanning nearly two centuries.

The Kew report identifies AI as a potential turning point in efforts to document and protect plant biodiversity at accelerating rates. Researchers can now access millions of previously catalogued specimens through digital platforms, extracting genetic information from archived fungi specimens dating back 180 years. This capacity creates what researchers describe as a "genomic goldmine" for understanding species diversity and resilience patterns.

The technology addresses a critical bottleneck in plant science. Traditional taxonomy relies on manual identification, a time-intensive process that cannot keep pace with habitat loss and species extinction. AI-powered image recognition systems accelerate specimen classification, while digitization makes herbarium collections available to researchers globally rather than confining them to physical institutions.

Climate change impacts on flowering times present another application. By analyzing digitized records and field observations, scientists track how species have shifted their blooming periods by weeks in response to warming temperatures. This data informs conservation priorities and helps predict which plants face the greatest extinction risk under future climate scenarios.

The report emphasizes that technology alone cannot reverse biodiversity loss. Implementation requires funding for digitization projects, training for botanists in AI tools, and expansion of specimen collection infrastructure, particularly in biodiverse regions where many species remain undocumented. Kew's work connects with broader global efforts to catalog Earth's plant kingdom before species disappear undiscovered.

The urgency reflects documented trends. Approximately 40 percent of plant species face extinction threats according to recent assessments. Many species in tropical regions remain scientifically unknown. Combining AI capabilities with traditional botanical expertise creates mechanisms to accelerate identification and genetic