Feeding a growing world demands smarter farming. This case study explores how BayRock Labs and an AgTech startup joined forces to revolutionize soil management with data science and AI, boosting yields and protecting the environment.
Increase crop yield
Increase crop yield by 20% through precise nutrient application based on real-time data insights.
Reduce environmental impact
Reduce environmental impact by 35% with optimized fertilizer use, minimizing nutrient runoff and promoting sustainable agricultural practices.
Make data-driven decisions
The platform empowered informed decision-making for soil health management, contributing to a more abundant and sustainable global food supply.
Integrating algorithms to analyze real-time and historical data (soil composition, weather) for customized fertility plans.
Leveraging Google Cloud Platform (GCP) for efficient storage and processing of large agricultural datasets.
Employing GIS and Remote Sensing techniques (e.g., satellite imagery) to incorporate spatial information for a comprehensive view of soil health across vast areas.