Early Detection of ToBRFV Using AI
"Our company offers an innovative solution for the early detection of Tomato Brown Rugose Fruit Virus (ToBRFV) powered by artificial intelligence (AI). By analyzing visual and cultivation data, our system identifies subtle signs of infection before they become visible to the human eye."
Our AI technology
Our AI technology detects early abnormalities in leaf structure, fruit coloration, or growth patterns that may indicate the onset of ToBRFV infection.
Faster than human observation
AI identifies early-stage symptoms, even before visual damage occurs.
Objective and consistent
No variation due to human fatigue or interpretation.
Data-driven decisions
Growers receive precise alerts, enabling targeted intervention and better hygiene control.
Continuous monitoring
Daily or real-time analysis ensures constant vigilance.
Scalable and efficient
Large areas are scanned automatically and systematically.
Why AI Is Critical for Early Detection
ToBRFV spreads rapidly and can cause significant financial damage. Traditional detection methods rely on manual inspections or lab testing, which can result in delays. AI provides a major time advantage, allowing growers to act faster and more effectively—reducing spread, protecting yields, and safeguarding the supply chain.