Chile tests AI-powered pest detection
VU
The adoption of AI marks another step toward more data-driven plant health management.
Chile’s Agriculture and Livestock Service (SAG) is turning to artificial intelligence to strengthen its defence against invasive pests, a move that could help protect both agricultural production and export markets.
The initiative was presented during a meeting with Frutas de Chile, where SAG outlined its modernisation strategy and showcased new technologies designed to improve surveillance and early detection of phytosanitary threats. The project combines artificial intelligence with smart monitoring systems capable of identifying pest activity faster and with greater precision than traditional methods.
One pilot programme is already underway in the Coquimbo region, where AI-enabled traps are being tested to support monitoring and control efforts. The technology is expected to improve response times, allowing authorities to act before outbreaks spread and become more costly to contain.
The push comes as Chile faces increasing phytosanitary challenges linked to global trade and the movement of goods. Early detection is particularly important for an export-oriented fruit industry that depends on maintaining access to international markets and meeting strict import requirements. Recent quarantine actions against Mediterranean fruit fly detections in several Chilean regions have highlighted the importance of rapid surveillance and containment measures.
SAG is also expanding its use of artificial intelligence beyond field monitoring. Earlier this month, the agency signed an agreement with four universities in the Biobío region to develop AI-based tools for phytosanitary inspections at ports. The first phase will focus on computer vision systems capable of detecting quarantine pests on arriving vessels, helping inspectors identify risks more quickly while improving operational efficiency.
source and photo: frutasdechile.cl




