When Valeria Kogan began her PhD in bioinformatics in 2017, she envisioned a career focused on mathematics, medicine, or biology. However, after the AI boom of the late 2010s, she found herself drawn into an unexpected field: agriculture. Kogan’s transition into the agricultural tech sector came through an intriguing opportunity—a tomato grower seeking someone with AI expertise to monitor plant health using advanced technology. This intersection of AI and agriculture soon led Kogan to launch Fermata, a Tel Aviv-based startup, in 2020.
Fermata combines computer vision and artificial intelligence to monitor and diagnose plant health in greenhouse environments. Its technology uses standard, off-the-shelf cameras to take pictures of crops twice daily. The AI-powered system then analyzes these images, identifying signs of disease or pest infestations and alerting farmers via an app. For Kogan, her bioinformatics background and understanding of data-driven health diagnostics made the transition into plant health monitoring a natural fit.
Continue reading… “AI-Powered Startup Fermata Revolutionizes Agriculture with Plant Health Monitoring Technology”