Revolutionary smartphone technology for early detection of Huanglongbing (HLB) disease. Protecting citrus crops with 80% accuracy through advanced machine learning.
Huanglongbing (HLB) threatens global citrus production, causing billions in agricultural losses annually.
Traditional methods take weeks for results
Laboratory testing is expensive and inaccessible
Disease spreads before symptoms are visible
Our revolutionary CNN-based system analyzes leaf images in real-time, delivering accurate HLB detection results directly to your smartphone.
Powered by state-of-the-art machine learning and cloud infrastructure
Deep learning architecture optimized for image classification with superior accuracy.
Scalable cloud infrastructure ensuring fast, reliable processing and global accessibility.
Specialized computer vision tools designed specifically for plant phenotyping analysis.
Take a photo of the citrus leaf using your smartphone camera
Our CNN model processes the image using advanced computer vision
Receive immediate diagnosis with confidence score and recommendations
Scientifically validated results from extensive field testing
Backed by leading agricultural research institutions and cutting-edge cloud technology
Laboratory of Plant Protection and Biotechnology - Leading agricultural research in Argentina
Amazon SageMaker infrastructure providing scalable, reliable machine learning capabilities
Published methodology and results validated by the scientific community
Technology applicable to citrus growing regions worldwide
Continuous improvement through advanced AI and agricultural science
Join us in transforming agricultural health monitoring. Request a live demonstration or explore investment opportunities.
Experience the future of crop disease detection
Discover the commercial potential of our AI technology