Valeria Kogan, founder of the agritech startup Fermata built a scientific career in bioinformatics and worked as a hired employee in Gero (a Singapore-based longevity biotech company) for more than five years before founding her agrotech startup Fermata. The next-generation farming tool uses AI-based technology to provide farmers with precise monitoring of their greenhouses, preventing 30% of the harvest loss and reducing the monitoring time by 50%.

Valeria Kogan joins me on the podcast to talk about how crop and livestock monitoring applications will hold a significant market share from 2020 to 2025. Fermata offers an integration within weather data, irrigation, nutrient, and other systems to improve resources used and boost output by more accurately identifying deficiencies.

We discuss enhancing data quality in the ecosystem, and the potential use case for data in agriculture. Massive data volumes of mapping, variable rate seeding, soil testing, crop monitoring, and crop rotation must be stored and managed correctly as successful farming relies entirely on it for assessing the conditions and improving regular operations. At the same time, it is pretty hard for farmers to develop and fulfill data storage from scratch: that's where intelligent technologies are needed!